Python中的关键字词云

Question

我正在使用 Python 在期刊中创建关键字词云。我遇到的问题是我不希望关键字中的单独单词被拆分，而是一起考虑。我设法通过用 替换空格字符来做到这一点' '，'_'但现在的问题是我得到的最终图像当然有下划线字符。这是代码：

import numpy as np

import pandas as pd

from os import path

from PIL import Image

from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator

import matplotlib.pyplot as plt

# Load in the dataframe

df = pd.read_csv("input/cmame_0.csv")

l = df['Author Keywords'].str.split(';', expand=False).tolist()

text = ';'.join([item for sublist in l if isinstance(sublist,list) for item in sublist])

text = text.replace(" ", "_")

stopwords = set(STOPWORDS)

# Create and generate a word cloud image:

wordcloud = WordCloud(stopwords=stopwords,

                      max_font_size=50,

                      max_words=100,

                      background_color="white").generate(text)

# Display the generated image:

plt.imshow(wordcloud, interpolation='bilinear')

plt.axis("off")

plt.show()

产生

我可以在这里使用一个正则表达式，但我似乎找不到正确的正则表达式。

Answer 1

可能是一个迟到的答案。你可以利用generate_from_frequencies方法。代码片段：from collections import Counterfrom wordcloud import WordCloudimport matplotlib.pyplot as pltwords = ["hey", "hello world", "may be", "exploring world", "something fishy"]word_cloud_lst = Counter(words)wordcloud = WordCloud(max_font_size=50, max_words=100, background_color="white").generate_from_frequencies(word_cloud_lst)plt.imshow(wordcloud, interpolation='bilinear')plt.axis("off")plt.show()结果在这里。

Answer 2

text = text.replace(" ", "")可能工作