我正在嘗試在清理文本文件后在python中創建wordcloud,

我得到了所需的結果,即大多數在文本文件中使用但無法繪制的單詞.

我的代碼：

import collections

from wordcloud import WordCloud

import matplotlib.pyplot as plt

file = open('example.txt', encoding = 'utf8' )

stopwords = set(line.strip() for line in open('stopwords'))

wordcount = {}

for word in file.read().split():

word = word.lower()

word = word.replace(".","")

word = word.replace(",","")

word = word.replace("\"","")

word = word.replace("“","")

if word not in stopwords:

if word not in wordcount:

wordcount[word] = 1

else:

wordcount[word] += 1

d = collections.Counter(wordcount)

for word, count in d.most_common(10):

print(word , ":", count)

#wordcloud = WordCloud().generate(text)

#fig = plt.figure()

#fig.set_figwidth(14)

#fig.set_figheight(18)

#plt.imshow(wordcloud.recolor(color_func=grey_color, random_state=3))

#plt.title(title, color=fontcolor, size=30, y=1.01)

#plt.annotate(footer, xy=(0, -.025), xycoords='axes fraction', fontsize=infosize, color=fontcolor)

#plt.axis('off')

#plt.show()

編輯：

用以下代碼繪制wordcloud：

wordcloud = WordCloud(background_color='white',

width=1200,

height=1000

).generate((d.most_common(10)))

plt.imshow(wordcloud)

plt.axis('off')

plt.show()

但是得到TypeError：預期的字符串或緩沖區

當我用.generate(str(d.most_common(10))嘗試上述代碼時

形成的單詞云在幾個單詞之后顯示’trotrophe(‘)符號

using Jupyter Notebook | python3 | Ipython

解決方法:

首先將此文件Symbola.ttf下載到以下腳本的當前文件夾中.

架構文件：

file.txt Symbola.ttf my_word_cloud.py

file.txt的：

foo buzz bizz foo buzz bizz foo buzz bizz foo buzz bizz foo buzz bizz

foo foo foo foo foo foo foo foo foo foo bizz bizz bizz bizz foo foo

my_word_cloud.py：

import io

from collections import Counter

from os import path

import matplotlib.pyplot as plt

from wordcloud import WordCloud

d = path.dirname(__file__)

# It is important to use io.open to correctly load the file as UTF-8

text = io.open(path.join(d, 'file.txt')).read()

words = text.split()

print(Counter(words))

# Generate a word cloud image

# The Symbola font includes most emoji

font_path = path.join(d, 'Symbola.ttf')

word_cloud = WordCloud(font_path=font_path).generate(text)

# Display the generated image:

plt.imshow(word_cloud)

plt.axis("off")

plt.show()

結果：

Counter({'foo': 17, 'bizz': 9, 'buzz': 5})

請參閱許多其他示例,在這里我為您創建了一個簡單示例：

標簽：word-cloud,python,matplotlib,plot

來源： https://codeday.me/bug/20191013/1905740.html

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