《你好,旧时光文本聚类分析》

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import numpy as np
import pandas as pd
pip install network 
Collecting network
  Downloading network-0.1.tar.gz (2.8 kB)
Building wheels for collected packages: network
  Building wheel for network (setup.py): started
  Building wheel for network (setup.py): finished with status 'done'
  Created wheel for network: filename=network-0.1-py3-none-any.whl size=3153 sha256=9e2df4c91485646b4ca49048dccda8804e33b83c38e63e935c41b41f2e6a3aae
  Stored in directory: c:\users\admin\appdata\local\pip\cache\wheels\7a\c8\a9\8a56b32bd0cbe99b092ca1afc5d382c5c76e69a634047e2e7e
Successfully built network
Installing collected packages: network
Successfully installed network-0.1
Note: you may need to restart the kernel to use updated packages.
pip install pipenv -i http://pypi.douban.com/simple --trusted-host pypi.douban.com
Looking in indexes: http://pypi.douban.com/simple
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Installing collected packages: platformdirs, distlib, virtualenv-clone, virtualenv, pipenv
Successfully installed distlib-0.3.6 pipenv-2022.8.24 platformdirs-2.5.2 virtualenv-20.16.3 virtualenv-clone-0.5.7
Note: you may need to restart the kernel to use updated packages.
import os
## 模块准备
# 加载需要模块
import re
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
import jieba
from wordcloud import WordCloud,ImageColorGenerator
from imageio import imread
import nltk
from nltk.cluster import cosine_distance,KMeansClusterer
from sklearn import metrics
from sklearn.feature_extraction.text import CountVectorizer,TfidfTransformer
from sklearn.decomposition import PCA
from scipy.cluster.hierarchy import dendrogram,ward
from scipy.spatial.distance import pdist,squareform
from sklearn.manifold import MDS
from gensim import corpora, models
# 加载绘制社交网络图的包
import network as nx

  1. 设置基本属性,设置字体,pandas显示方式,显示图像的方式,参考代码如下:
# 设置字体
font =FontProperties(fname ='simkai.ttf', size =14)
# 设置pandas显示方式
pd.set_option('display.max_rows',8)
pd.options.mode.chained_assignment =None# default='warn'
# 设置图像显示方式
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
%config InlineBackend.figure_format = 'retina'

文本数据准备与处理

##读取你好,旧时光小说
book=pd.read_table('book1.txt',sep='\n\n',header=None,names=['Book1'],engine='python')
book
Book1
0 ˇ所谓玛丽苏ˇ
1 mary sue ,同人中那种完美的女主角。
2 其含义就是制造一个原作中不存在的女孩,与故事里的美少年们进行恋爱。这个女孩,在低水平写手那里...
3 玛丽苏多出自于Bg文,但从定义上看也极容易与一些原创女主的Bg文混淆,其实某些原创女主“很圣...
... ...
8991 “妈妈,你在那边好不好?我六十年之后就去看你了。”
8992 想了想,歪头笑了。
8993 “不不不,还是七十年吧,我想……多留下几年。”
8994 因为生命过分美丽。

8995 rows × 1 columns

创建停用词

将下载的停用词词典逐行读入,添加小说常用词至停用词列表

def stopwordslist(filepath):
    stopwords = [line.strip() for line in open(filepath,'r',encoding='utf-8').readlines()]
    return stopwords
stopwords = stopwordslist('stopping.txt')
stopwords.extend(['说','想','走','跑','看','看着','笑','中','站','做','问','里'])
print(stopwords[1:10])
##查看数据是否有空白的行,如果有就剔除
if np.sum(pd.isnull(book.Book1))!=0:
    book.Book1.dropna()
['阿', '哎', '哎呀', '哎哟', '唉', '俺', '俺们', '按', '按照']

2. 找出章节的头部索引和尾部索引

找出每一章的头部索引和尾部索引

def chapterclean(df):
    #截取章节^所在行号 每一章节的名字
    indexchap = df.str.match('^ˇ+.+ˇ')
    #从原始数据集df截取所有的章节行
    chapnames = df[indexchap].reset_index(drop=True)
    newchap = pd.DataFrame([myL.replace('ˇ','')for myL in list(chapnames)])
    #得到章节名称
    newchap.columns = ['ChapterName']
    #每章的开始行索引
    newchap['StartCid'] = indexchap[indexchap==True].index
    #每章的结束行索引
    newchap["EndCid"] = newchap['StartCid'][1:len(newchap['StartCid'])].reset_index(drop=True) - 1
    newchap["EndCid"][[len(newchap["EndCid"])-1]] = book.index[-1]
    #每章的段落长度
    newchap["Lengthchaps"] = newchap.EndCid - newchap.StartCid
    #每章的内容
    newchap['Artical'] = 'Artical'
    for ii in newchap.index:
        #将每一章的内容用句号连接
        chapid = np.arange(newchap.StartCid[ii]+1,int(newchap.EndCid[ii]))
        #每章的内容
        newchap['Artical'][ii] = ''.join(list(book.Book1[chapid])).replace('\u3000','')
    newchap["WordNum"] = newchap.Artical.apply(len)
    return newchap

newchap = chapterclean(book.Book1)
print(newchap)
      ChapterName  StartCid  EndCid  Lengthchaps  \
0           所谓玛丽苏         0     8.0          8.0   
1    余周周小朋友的个人秀之一         9    78.0         69.0   
2    余周周小朋友的个人秀之二        79   161.0         82.0   
3             小飞虫       162   221.0         59.0   
..            ...       ...     ...          ...   
104     你的资格,我的考试      8511  8605.0         94.0   
105      泯然众人间的幸福      8606  8773.0        167.0   
106        再见,旧时光      8774  8940.0        166.0   
107  尾声:年年有余,周周复始      8941  8994.0         53.0   

                                               Artical  WordNum  
0    mary sue ,同人中那种完美的女主角。其含义就是制造一个原作中不存在的女孩,与故事里的...      660  
1    “你……你怎么样?你流了好多血!”“西米克,这个瓶子,你先拿走!”“不要,我不要丢下你,我不...     2209  
2    “无论怎样,我都不会把圣蛋交给你的!”雅典娜坚贞不屈,高昂着头,任长在背后飘啊飘。余周周版雅...     3627  
3    余周周常说,奔奔这个名字很好。那时候电视上正在播放一部动画片,里面的主角是一辆长得像碰碰车的...     3309  
..                                                 ...      ...  
104  “你没必要一周来一次的。”米乔靠在病床上啃苹果,她终于稳定下来了,不再吃什么吐什么。十月份的...     3042  
105  考试结束铃打响的时候,余周周“腾”地站起身。辛锐有那么一秒钟觉得余周周要冲上来撕了她——她从...     6575  
106  余周周很久之后才知道,其实在奔奔不再是奔奔,却也还不是慕容沉樟的时候,他的大名叫做冀希杰,应...     5186  
107  “乖,来,不理爸爸,来找小姑姑玩!”余周周拍拍手,余思窈就白了她爸爸余乔一眼,扭着屁股投入到...     1660  

[108 rows x 6 columns]

绘制章节段数与字数折线图

def chapterplot(newchap):
    plt.figure(figsize = (12, 10))
    plt.subplot(2,1,1)
    plt.plot(newchap.index+1,newchap.Lengthchaps,"bo-",label="段落")
    plt.ylabel('章节段数',fontproperties = font)
    plt.title('《你好,旧时光》',fontproperties = font)
    #添加平均值
    plt.hlines(np.mean(newchap.Lengthchaps),-5,125,"r")
    plt.xlim(-5,125)
    
    plt.subplot(2,1,2)
    plt.plot(newchap.index+1,newchap.WordNum,"bo-",label = "段落")
    plt.xlabel("章节",fontproperties = font)
    plt.ylabel("章节字数",fontproperties = font)
    #添加平均值
    plt.hlines(np.mean(newchap.WordNum),-5,125,"r")
    plt.xlim((-5,125))
    plt.show()
chapterplot(newchap)

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文本分词与词云绘制

#删除标点
def delete_punctuation(df):
    pattern = re.compile(r'[\u4e00-\u9fa5]+')
    df_new = pd.DataFrame(None,columns = ['value'])
    for i in np.arange(len(df)):
        df_new.loc[i] = ''.join(re.findall(pattern,df[i]))
    return df_new

#分词
#去掉停用词
def seg_sentence(sentence):
    jieba.load_userdict('dict.txt')
    sentence_seged = [[word for word in jieba.cut(document)]for document in sentence]
    outstr = []
    for sentence_list in sentence_seged:
        words = []
        for word in sentence_list:
            if word not in list(stopwords):
                words.append(word)
        outstr.extend([words])
    return outstr
newchap['Cutword'] = seg_sentence(delete_punctuation(newchap.Artical).value)
newchap['Chapter_num'] = range(1,len(newchap)+1)
print(newchap['Cutword'])
# print(newchap['Chapter_num'])
0      [同人, 那种, 完美, 女主角, 含义, 制造, 原作, 女孩, 故事, 美少年, 恋爱,...
1      [流, 好多, 血, 西米克, 瓶子, 先, 拿走, 丢下, 快快, 时间, 余周周, 卧倒...
2      [无论怎样, 圣蛋, 交给, 雅典娜, 坚贞不屈, 高昂, 头, 任长, 背后, 飘, 飘,...
3      [余周周, 常说, 奔奔, 名字, 电视, 播放, 一部, 动画片, 主角, 一辆, 长得,...
                             ...                        
104    [一周, 米乔, 病床, 啃, 苹果, 终于, 稳定下来, 吃, 吐, 十月份, 天空, 明...
105    [考试, 结束, 铃, 打响, 余周周, 腾地, 起身, 辛锐, 一秒钟, 余周周, 要冲,...
106    [余周周, 久, 奔奔, 奔奔, 慕容, 沉樟, 大名, 冀希杰, 酒鬼, 养父, 冠名, ...
107    [乖来, 不理, 爸爸, 找, 小姑姑, 玩, 余周周, 拍拍手, 余思窈, 白, 爸爸, ...
Name: Cutword, Length: 108, dtype: object

统计词频与长度

def wordstotal(newchap):
    # 连接词
    textwords =np.concatenate(newchap.Cutword)
    #统计词频
    words_df =pd.DataFrame({
   'Word': textwords})
    words_stat =words_df.groupby(by =['Word'])['Word'].agg([('number',np.size),])
    words_stat =words_stat.reset_index().sort_values(by ='number', ascending =False)
    words_stat['Wordlen'] =words_stat.Word.apply(len) 
    # 去除长度大于5
    words_stat =words_stat.loc[words_stat.Word.apply(len) <5,:]
    words_stat =words_stat.sort_values(by ='number', ascending =False)
    return words_stat
words_stat =wordstotal(newchap)
words_stat
Word number Wordlen
2073 余周周 3483 3
10725 林杨 1003 2
6145 妈妈 590 2
14734 老师 482 2
... ... ... ...
18303 风地 1 2
13578 破涕为笑 1 4
17357 那扇 1 2
18712 龙头老大 1 4

18658 rows × 3 columns

绘制高频词图

 def wordsplot(words_stat):
    # 筛选数据
    newdata = words_stat.loc[words_stat.number >250]
    # 绘制直方图
    newdata.plot(kind ='bar', x ='Word', y ='number', figsize =(10, 7))
    plt.xticks(fontproperties =font, size =9)
    plt.xlabel('关键词', fontproperties =font)
    plt.ylabel('频数', fontproperties=font)
    plt.title("《你好,旧时光》", fontproperties =font)
    plt.show()
wordsplot(words_stat)

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词云绘制

def wcplot(words_stat):
    # 数据准备
    worddict ={
   }
    # 构造:词语:频率 字典
    for key,value in zip(words_stat.Word, words_stat.number):
        worddict[key] =value
    # 读取背景图片
    back_image =imread('7.jpg')
    # 生成词云,使用generate_from_frequencies函数

    wcbook =WordCloud(font_path ='msyhl.ttc', margin =5, width =6000, height =4000, background_color ='white',  # 
                        max_words =500,  # 词云显示的最大词数
                        mask =back_image,  # 设置背景图片
                        # max_font_size=100, #字体最大值
                        random_state =42,
                        ).generate_from_frequencies(frequencies =worddict)
    #从背景图片生成颜色值 
    image_colors =ImageColorGenerator(back_image)
    # 绘制词云
    plt.figure(figsize =(15,10))
    plt.imshow(wcbook.recolor(color_func =image_colors))
    plt.axis("off")
    plt.show()
wcplot(words_stat)

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# 角色表
role =pd.read_table('role.txt', sep ='\n\n', header =None, engine='python')
# 对段落分词
newcharacter =seg_sentence(delete_punctuation(book.Book1).value)

def weightcaculate(newcharacter, role):
    # 计算权重
    names ={
   }      # 姓名字典
    relationships ={
   } # 关系字典
    lineNames=[]    # 每段内人物关系
    for n in newcharacter:
        # 替换同人不同名
        a =list(map(lambda x : [x, '余周周'][x =='周周'or x =='小姑姑'or x =='姑姑'], n))
        b =list(map(lambda x : [x, '米乔'][x =='乔帮主'or x =='帮主'], a))
        c =list(map(lambda x : [x, '奔奔'][x =='周周'or x =='慕容沉樟'or x =='冀希杰'], b))
        d =list(map(lambda x : [x, '凌翔茜'][x =='茜茜'], c))
        e =list(map(lambda x : [x, '辛锐'][x =='辛美香'], d))
        f =list(map(lambda x : [x, '郑彦一'][x =='彦一'], e))
        g =list(map(lambda x : [x, '武文陆'][x =='武老师'or x =='老武'], f))
        h =list(map(lambda x : [x, '周沈然'][x =='然然'], g))
        i =list(map(lambda x : [x, '潘元胜'][x =='潘主任'or x =='小潘'], h))
        j =list(map(lambda x : [x, '何瑶瑶'][x =='瑶瑶'], i))
        lineNames.append([])
        for word in j:
            if word in list(role[0]):
                lineNames[-1].append(word)
                if names.get(word) is None:
                    names[word] =0
                    relationships[word] ={
   }
                names[word] += 1
    for line in lineNames:   #对于每一段 
        for name1 in line:                
            for name2 in line:  #每段中的任意两个人 
                if name1 ==name2:   
                    continue
                if relationships[name1].get(name2) is None:       #若两个人尚未同时出现则新建项
                    relationships[name1][name2]=1
                else: relationships[name1][name2] =relationships[name1][name2]+1# 1
    return relationships
relationships =weightcaculate(newcharacter, role)
#rel_stat
#rel_stat = pd.read_csv('weight.csv', sep = ',')
test = pd.DataFrame(relationships)
df = pd.DataFrame(columns = ["First", "Second", "Weight"])
m = 0
temp = np.array(test)
for i in list(test.index):
    n = 0
    for j in list(test.columns)[n:]:
        df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
        n = n + 1
    m = m + 1
df = df[(True^df["Weight"].isin(["nan"]))]

rel_stat = pd.DataFrame(columns = ["First", "Second", "Weight"])
for i in np.arange(17):
    for j in np.arange(17)[i+1:]:
        First = df["First"].unique()[i]
        Second = df["First"].unique()[j]
        if(len(df[(df["First"] == First) & (df["Second"] == Second)]["Weight"]) != 0):
            Weight = df[(df["First"] == First) & (df["Second"] == Second)]["Weight"].values[0]
            rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
rel_stat.index= list(range(60))

rel_stat['DWeight'] = rel_stat['Weight'].astype('float') / 600
rel_stat['DWeight'].plot(kind = 'hist')
rel_stat.describe()
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:50: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  df = df.append(pd.DataFrame(np.matrix([i, j , temp[m, n]]), columns = df.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
C:\Users\admin\AppData\Local\Temp\ipykernel_10956\4282927487.py:62: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  rel_stat = rel_stat.append(pd.DataFrame(np.matrix([First, Second, Weight]), columns = rel_stat.columns))
DWeight
count 60.000000
mean 0.073083
std 0.155605
min 0.001667
25% 0.003333
50% 0.014167
75% 0.072083
max 0.946667

[外链图片转存失败,源站可能有防盗链机制,建议将图片保存下来直接上传(img-rBWjfC0A-1662004715249)(output_22_2.png)]

绘制人物关系图

## 绘制人物关系图
def characterplot(rel_stat):
    plt.figure(figsize = (12, 12))
    #生成社交网络图
    G = nx.Graph()
    G.clear() #将图上元素清空
    for ii in rel_stat.index:
        G.add_edge(rel_stat.First[ii], rel_stat.Second[ii], weight = rel_stat.DWeight[ii])

    elarge = [(u, v) for (u, v, d) in G.edges(data = True) if d['weight'] > 0.2]
    emidle= [(u, v) for (u, v, d) in G.edges(data = True) if (d['weight'] > 0.07) & (d['weight'] <= 0.2)]
    esmall = [(u, v) for (u, v, d) in G.edges(data = True) if d['weight'] <= 0.07]
    # 图的布局
    pos = nx.fruchterman_reingold_layout(G) # positions for all nodes
    # 计算每个节点的重要程度
    Gdegree = nx.degree(G)
    Gdegree = pd.DataFrame({
   'name' : list(dict(Gdegree).keys()), 'degree' : list(dict(Gdegree).values())})
    # nodes根据节点的入度和初度来设置节点的大小
    nx.draw_networkx_nodes(G, pos, alpha = 0.6, node_size =50 + Gdegree.degree * 70)
    # edges
    nx.draw_networkx_edges(G, pos, edgelist = elarge,width = 3, alpha = 0.9, edge_color = 'greenyellow')
    nx.draw_networkx_edges(G, pos, edgelist = emidle,width = 2, alpha = 0.6, edge_color = 'yellow')
    nx.draw_networkx_edges(G, pos, edgelist = esmall,width = 1, alpha = 0.3, edge_color = 'blue', style = 'dashed')
    # labels
    nx.draw_networkx_labels(G, pos, font_size = 10, font_family = 'KaiTi')
    plt.axis('off')
    plt.title("《你好,旧时光》人物关系", FontProperties = font)
    plt.show() # display
characterplot(rel_stat)
---------------------------------------------------------------------------

AttributeError                            Traceback (most recent call last)

Input In [25], in <cell line: 29>()
     27     plt.title("《你好,旧时光》人物关系", FontProperties = font)
     28     plt.show() # display
---> 29 characterplot(rel_stat)


Input In [25], in characterplot(rel_stat)
      3 plt.figure(figsize = (12, 12))
      4 #生成社交网络图
----> 5 G = nx.Graph()
      6 G.clear() #将图上元素清空
      7 for ii in rel_stat.index:


AttributeError: module 'network' has no attribute 'Graph'



<Figure size 864x864 with 0 Axes>

聚类分析

利用K-Means算法、Ward算法进行聚类分析,用MDS\PCA可视化展示聚类结果。
#articals = list(newchap['cutword'])
articals=[]
for cutwords in newchap.Cutword:
    articals.append(" ".join(cutwords))
# tfidf
vectorizer = CountVectorizer()    # max_features
transformer = TfidfTransformer() # TfidfTransformer

tfidf =transformer.fit_transform(vectorizer.fit_transform(articals))
# tfidf 
print(tfidf) # 
# tfidf

dtm =tfidf.toarray()
dtm
  (0, 17320)	0.08137094931580552
  (0, 16881)	0.058802010025752284
  (0, 16346)	0.025465471435741963
  (0, 15510)	0.07476995773293878
  (0, 15471)	0.08137094931580552
  (0, 15216)	0.07476995773293878
  (0, 14958)	0.07476995773293878
  (0, 14898)	0.4268313529203993
  (0, 14855)	0.038999035277152046
  (0, 14685)	0.08137094931580552
  (0, 14635)	0.07476995773293878
  (0, 14607)	0.08137094931580552
  (0, 14380)	0.08137094931580552
  (0, 14044)	0.03142289905051851
  (0, 14014)	0.042333098226247645
  (0, 13787)	0.07476995773293878
  (0, 13778)	0.04653056860356843
  (0, 13714)	0.08137094931580552
  (0, 13618)	0.043090446332163676
  (0, 13392)	0.055169222211114595
  (0, 13038)	0.058802010025752284
  (0, 12630)	0.08137094931580552
  (0, 12589)	0.06348548808791216
  (0, 12396)	0.08137094931580552
  (0, 12390)	0.08137094931580552
  :	:
  (107, 1651)	0.044905434303681
  (107, 1550)	0.041592651764436474
  (107, 1505)	0.0575564263390265
  (107, 1433)	0.014515556453089301
  (107, 1412)	0.05288732159097601
  (107, 1354)	0.03361076447714147
  (107, 1312)	0.0575564263390265
  (107, 1244)	0.0575564263390265
  (107, 1106)	0.0575564263390265
  (107, 980)	0.09195089336895704
  (107, 864)	0.044905434303681
  (107, 759)	0.0575564263390265
  (107, 710)	0.04957453905173149
  (107, 530)	0.0575564263390265
  (107, 481)	0.02095977244179595
  (107, 444)	0.0575564263390265
  (107, 365)	0.01898084297406993
  (107, 359)	0.023649947722120427
  (107, 352)	0.04700494528372696
  (107, 326)	0.018780569592096952
  (107, 297)	0.036780357347582816
  (107, 251)	0.02676245687939197
  (107, 232)	0.028019933595394574
  (107, 121)	0.03902305799643194
  (107, 106)	0.0147930501023435





array([[0.        , 0.        , 0.        , ..., 0.        , 0.        ,
        0.        ],
       [0.        , 0.        , 0.        , ..., 0.        , 0.        ,
        0.        ],
       [0.        , 0.        , 0.        , ..., 0.        , 0.        ,
        0.        ],
       ...,
       [0.        , 0.        , 0.        , ..., 0.        , 0.        ,
        0.        ],
       [0.02688032, 0.        , 0.        , ..., 0.        , 0.        ,
        0.        ],
       [0.        , 0.        , 0.        , ..., 0.        , 0.        ,
        0.        ]])

获得所有的特征项

print(vectorizer.get_feature_names()[1:10])
print(len(vectorizer.get_feature_names()))

print(cosine_distance(dtm[1,:],dtm[1,:]))
print(cosine_distance(dtm[2,:],dtm[3,:]))
['一丁点儿', '一万', '一万个', '一上午', '一下一下', '一下下', '一下半', '一下头', '一下子']
17579
0.0
0.7888537623748345


F:\python_anaconda\lib\site-packages\sklearn\utils\deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.
  warnings.warn(msg, category=FutureWarning)
kmeans =KMeansClusterer(num_means =3, distance =nltk.cluster.util.cosine_distance,)
kmeans.cluster(dtm)

labpre =[kmeans.classify(i) for i in dtm]
kmeanlab =newchap.loc[:,["ChapterName"]]
kmeanlab["cosd_pre"] =labpre

count =kmeanlab.groupby("cosd_pre").count()
count =count.reset_index()
count
cosd_pre ChapterName
0 0 17
1 1 43
2 2 48

聚类结果可视化

mds =MDS(n_components =2, random_state =123)

coord =mds.fit_transform(dtm)
print(coord.shape)

plt.figure(figsize =(8, 8))
plt.scatter(coord[:, 0], coord[:, 1], c =kmeanlab.cosd_pre)
for ii in np.arange(108):
    plt.text(coord[ii, 0] +0.02, coord[ii, 1], s =newchap.Chapter_num[ii])
plt.xlabel("X")   
plt.ylabel("Y")  
plt.title("K-means MDS")  
plt.show() 
(108, 2)

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使用PCA对数据进行降维

pca =PCA(n_components =2)
pca.fit(dtm)
print(pca.explained_variance_ratio_)
#对数据进行降维
coord =pca.fit_transform(dtm)
print(coord.shape)

#绘制降维后的结果
plt.figure(figsize =(8, 8))
plt.scatter(coord[kmeanlab.cosd_pre ==0, 0], coord[kmeanlab.cosd_pre ==0, 1],label ='first')
plt.scatter(coord[kmeanlab.cosd_pre ==1,0], coord[kmeanlab.cosd_pre ==1, 1],label ='second')
plt.scatter(coord[kmeanlab.cosd_pre ==2,0], coord[kmeanlab.cosd_pre ==2, 1], label ='third')
plt.legend('upper right')
for ii in np.arange(108):
    plt.text(coord[ii, 0] +0.02, coord[ii, 1], s =newchap.Chapter_num[ii])
plt.xlabel("主成分1", fontproperties =font)   
plt.ylabel("主成分2", fontproperties =font)  
plt.title("K-means PCA")
plt.show() 
[0.04479856 0.03542421]
(108, 2)

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层次聚类

#标签,每个章节的名字
labels =newchap.ChapterName.values

cosin_matrix =squareform(pdist(dtm, 'cosine')) 

ling =ward(cosin_matrix)  
fig, ax =plt.subplots(figsize =(10, 15)) 
ax =dendrogram(ling, orientation ='right', labels =labels);
plt.yticks(fontproperties =font, size =8)
plt.title("《你好旧时光》各章节层次聚类", fontproperties =font)
plt.show()

[外链图片转存失败,源站可能有防盗链机制,建议将图片保存下来直接上传(img-f37vTxPG-1662004715251)(output_36_0.png)]


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