由 dawei
词云是一种数据可视化技术，用于表示文本数据，其中每个单词的大小表示其出现的频率或重要性。 可以使用词云突出显示重要的文本数据点。 词云被广泛用于分析来自社交网络网站的数据。
ASP站长网为了在Python中生成词云，需要的模块是– matplotlib，pandas和wordcloud。 要安装这些软件包，请运行以下命令：
pip install matplotlib
pip install pandas
pip install wordcloud
代码1：字数
可以设置要在tagcloud上显示的最大单词数。 为此，请使用WordCloud()函数的max_words关键字参数。
# importing the necessery modules
from wordcloud import WordCloud
import matplotlib.pyplot as plt
import csv
# file object is created
file_ob = open(r"linuxidc.com.csv")
# reader object is created
reader_ob = csv.reader(file_ob)
# contents of reader object is stored .
# data is stored in list of list format.
reader_contents = list(reader_ob)
# empty string is declare
text = ""
# iterating through list of rows
for row in reader_contents :
# iterating through words in the row
for word in row :
# concatenate the words
text = text + " " + word
# show only 10 words in the wordcloud .
wordcloud = WordCloud(width=480, height=480, max_words=10).generate(text)
# plot the WordCloud image
plt.figure()
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.margins(x=0, y=0)
plt.show()
输出如下图：
用Python生成词云
代码2：删除一些单词
可以删除一些我们不想显示的词。 为此，请将这些单词传递给WordCloud()函数的停用词列表参数。
# importing the necessery modules
from wordcloud import WordCloud
import matplotlib.pyplot as plt
import csv
# file object is created
file_ob = open(r"linuxidc.com.csv")
# reader object is created
reader_ob = csv.reader(file_ob)
# contents of reader object is stored .
# data is stored in list of list format.
reader_contents = list(reader_ob)
# empty string is declare
text = ""
# iterating through list of rows
for row in reader_contents :
# iterating through words in the row
for word in row :
# concatenate the words
text = text + " " + word
# remove Python , Matplotlib , Geeks Words from WordCloud .
wordcloud = WordCloud(width=480, height=480,
stopwords=["Python", "Matplotlib","Geeks"]).generate(text)
# plot the WordCloud image
plt.figure()
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.margins(x=0, y=0)
plt.show()