车质网典型问题字云

import pandas as pd
import wordcloud # 词云库
import numpy as np
import PIL.Image as image
import jieba# 读取数据
car_data = pd.read_csv("CarData.csv",encoding="GBK")# 数据预处理
car_data_drop_dup = car_data.drop_duplicates() #去重
# 获取需求数据
word = ''
for complain in car_data_drop_dup["典型问题4"].dropna():word = word + complain +' '
for complain in car_data_drop_dup["典型问题"].dropna():word = word + complain +' '
for complain in car_data_drop_dup["典型问题2"].dropna():word = word + complain +' '
# word = ''
# for ask in car_data_drop_dup["问题简述"]:
#     print(ask)# word = jieba.cut(word) # 将文章分词mask = np.array(image.open("I_LOVE_YOU.png"))wordcloud1 = wordcloud.WordCloud(font_path="C:\Windows\Fonts\STCAIYUN.TTF",background_color = "#FFFFFF",width=1920,height=1080,max_font_size=50,mask=mask
).generate(word)
image_produce = wordcloud1.to_image()
image_produce.show()