从具有 IF 条件的 pandas 数据框生成 WordCloud
Generate WordCloud from a pandas dataframe with IF condition
我有一个 Pandas 数据框：
Text
Sentiment
Great
Positive
Very bad
Negative
我正在尝试使用此代码绘制词云：
from wordcloud import WordCloud
from matplotlib import colors
from nltk.corpus import stopwords
color_list=['#4d4d4d','#ffcc00','#000000',]
colormap=colors.ListedColormap(color_list)
words = ' '.join([Text for Text in df['Text']])
wordCloud = WordCloud(background_color='white',colormap=colormap, mode="RGB", width=2000 , height=1000).generate(words)
plt.figure(figsize=(20,10))
plt.imshow(wordCloud)
plt.show()
如何调整代码以根据列 'Sentiment' 的分类仅显示否定词？
创建单词时试试这个：
words = ' '.join([Text for Text in df[df['Sentiment']=='Negative']['Text']])
我有一个 Pandas 数据框：
| Text | Sentiment |
|---|---|
| Great | Positive |
| Very bad | Negative |
我正在尝试使用此代码绘制词云：
from wordcloud import WordCloud
from matplotlib import colors
from nltk.corpus import stopwords
color_list=['#4d4d4d','#ffcc00','#000000',]
colormap=colors.ListedColormap(color_list)
words = ' '.join([Text for Text in df['Text']])
wordCloud = WordCloud(background_color='white',colormap=colormap, mode="RGB", width=2000 , height=1000).generate(words)
plt.figure(figsize=(20,10))
plt.imshow(wordCloud)
plt.show()
如何调整代码以根据列 'Sentiment' 的分类仅显示否定词？
创建单词时试试这个：
words = ' '.join([Text for Text in df[df['Sentiment']=='Negative']['Text']])