用Python爬了我的微信好友，他們是這樣的...

itchat.auto_login(hotReload = True) friends = itchat.get_friends(update = True)

def analyseSex(firends):   sexs = list(map(lambda x:x['Sex'],friends[1:]))  counts = list(map(lambda x:x[1],Counter(sexs).items()))  labels = ['Unknow','Male','Female']  colors = ['red','yellowgreen','lightskyblue']  plt.figure(figsize=(8,5), dpi=80)  plt.axes(aspect=1)  plt.pie(counts, #性別統(tǒng)計(jì)結(jié)果    labels=labels, #性別展示標(biāo)簽    colors=colors, #餅圖區(qū)域配色    labeldistance = 1.1, #標(biāo)簽距離圓點(diǎn)距離    autopct = '%3.1f%%', #餅圖區(qū)域文本格式    shadow = False, #餅圖是否顯示陰影    startangle = 90, #餅圖起始角度    pctdistance = 0.6 #餅圖區(qū)域文本距離圓點(diǎn)距離  )  plt.legend(loc='upper right',)  plt.title(u'%s的微信好友性別組成' % friends[0]['NickName'])  plt.show()

def analyseHeadImage(frineds):  # Init Path  basePath = os.path.abspath('.')  baseFolder = basePath + '\\HeadImages\\' if(os.path.exists(baseFolder) == False):   os.makedirs(baseFolder)   # Analyse Images  faceApi = FaceAPI()  use_face = 0 not_use_face = 0 image_tags = ''  for index in range(1,len(friends)):   friend = friends[index]   # Save HeadImages   imgFile = baseFolder + '\\Image%s.jpg' % str(index)   imgData = itchat.get_head_img(userName = friend['UserName'])   if(os.path.exists(imgFile) == False):    with open(imgFile,'wb') as file:     file.write(imgData)     # Detect Faces   time.sleep(1)   result = faceApi.detectFace(imgFile)   if result == True:    use_face += 1  else:    not_use_face += 1    # Extract Tags   result = faceApi.extractTags(imgFile)   image_tags += ','.join(list(map(lambda x:x['tag_name'],result)))   labels = [u'使用人臉頭像',u'不使用人臉頭像']  counts = [use_face,not_use_face]  colors = ['red','yellowgreen','lightskyblue']  plt.figure(figsize=(8,5), dpi=80)  plt.axes(aspect=1)  plt.pie(counts, #性別統(tǒng)計(jì)結(jié)果    labels=labels, #性別展示標(biāo)簽    colors=colors, #餅圖區(qū)域配色    labeldistance = 1.1, #標(biāo)簽距離圓點(diǎn)距離    autopct = '%3.1f%%', #餅圖區(qū)域文本格式    shadow = False, #餅圖是否顯示陰影    startangle = 90, #餅圖起始角度    pctdistance = 0.6 #餅圖區(qū)域文本距離圓點(diǎn)距離  )  plt.legend(loc='upper right',)  plt.title(u'%s的微信好友使用人臉頭像情況' % friends[0]['NickName'])  plt.show()   image_tags = image_tags.encode('iso8859-1').decode('utf-8')  back_coloring = np.array(Image.open('face.jpg'))  wordcloud = WordCloud(   font_path='simfang.ttf',   background_color="white",   max_words=1200,   mask=back_coloring,   max_font_size=75,   random_state=45,   width=800,   height=480,   margin=15 )   wordcloud.generate(image_tags)  plt.imshow(wordcloud)  plt.axis("off")  plt.show()

def analyseSignature(friends):  signatures = ''  emotions = []  pattern = re.compile("1f\d.+")  for friend in friends:   signature = friend['Signature']   if(signature != None):    signature = signature.strip().replace('span', '').replace('class', '').replace('emoji', '')    signature = re.sub(r'1f(\d.+)','',signature)    if(len(signature)>0):     nlp = SnowNLP(signature)     emotions.append(nlp.sentiments)     signatures += ' '.join(jieba.analyse.extract_tags(signature,5))  with open('signatures.txt','wt',encoding='utf-8') as file:    file.write(signatures)  # Sinature WordCloud  back_coloring = np.array(Image.open('flower.jpg'))  wordcloud = WordCloud(   font_path='simfang.ttf',   background_color="white",   max_words=1200,   mask=back_coloring,   max_font_size=75,   random_state=45,   width=960,   height=720,   margin=15 )  wordcloud.generate(signatures)  plt.imshow(wordcloud)  plt.axis("off")  plt.show()  wordcloud.to_file('signatures.jpg')  # Signature Emotional Judgment  count_good = len(list(filter(lambda x:x>0.66,emotions)))  count_normal = len(list(filter(lambda x:x>=0.33 and x<=0.66,emotions)))  count_bad = len(list(filter(lambda x:x<0.33,emotions)))  labels = [u'負(fù)面消極',u'中性',u'正面積極']  values = (count_bad,count_normal,count_good)  plt.rcParams['font.sans-serif'] = ['simHei']  plt.rcParams['axes.unicode_minus'] = False plt.xlabel(u'情感判斷')  plt.ylabel(u'頻數(shù)')  plt.xticks(range(3),labels)  plt.legend(loc='upper right',)  plt.bar(range(3), values, color = 'rgb')  plt.title(u'%s的微信好友簽名信息情感分析' % friends[0]['NickName'])  plt.show()

def analyseLocation(friends):  headers = ['NickName','Province','City']  with open('location.csv','w',encoding='utf-8',newline='',) as csvFile:   writer = csv.DictWriter(csvFile, headers)   writer.writeheader()   for friend in friends[1:]:    row = {}    row['NickName'] = friend['NickName']    row['Province'] = friend['Province']    row['City'] = friend['City']    writer.writerow(row)