当SSH(使用-X)进入我的Ubuntu16.04服务器时,我得到了_tkinter.TclError: couldn't connect to display "localhost:10.0",运行这个脚本
from os import path
from wordcloud import WordCloud
import matplotlib as mpl
import matplotlib.pyplot as plt
mpl.use('Agg')
d = path.dirname(__file__)
text = open(path.join(
我正在使用python wordcloud库,Wikipedia和Matplotlib生成一些wordcloud。我的意图是将wordcloud以矢量格式保存在SVG文件中。目前,程序以SVG格式保存文件,但内容为栅格格式。我的部分代码如下: # Import packages
import wikipedia
import re
from wordcloud import WordCloud, STOPWORDS
import matplotlib
matplotlib.use('SVG') #set the backend to SVG
import matplotlib
我使用pycharm并从github运行代码。我在哪里可以得到单词云图像?
#!/usr/bin/env python
"""
Minimal Example
===============
Generating a square wordcloud from the US constitution using default arguments.
"""
import os
from os import path
from wordcloud import WordCloud
# get data directory (using get
我正在尝试生成由一些硬编码字符串组成的word_cloud的svg (到目前为止,这些字符串将在稍后动态生成)。下面是生成word_cloud的Python代码:
from os import path
from wordcloud import WordCloud
d = path.dirname(__file__)
# Read the whole text.
#text = open(path.join(d, 'test.txt')).read()
mytext = ['hello, hi, ibm, pune, hola']
# Generate a w
好的,我正试着从pdf中提取文本,并从extractedText中显示一个词云。 正在接收模块:“TypeError”对象在行不可调用 cloud = wordcloud(mask=rsMask).generate(pageObj.extractText()) 这是我正在运行的代码,提前谢谢,干杯: #Extracting text from a pdf
import wordcloud
import matplotlib.pyplot as plt
from PIL import Image
import numpy as np
import PyPDF4
pdfFileObj =
我正在使用Matplotlib在python中绘制一个单词云,如下所示:
import matplotlib.pyplot as plt
from wordcloud import WordCloud, STOPWORDS
word_cloud = WordCloud(collocations = False, background_color = 'white').generate("This is a test sentence with the purpose of plotting a word cloud and converting it to dash
我试图为数据中的不同类别生成wordcloud。我能够在循环中生成字云。请参阅下面的脚本。
import pandas as pd
from wordcloud import WordCloud,STOPWORDS
import matplotlib.pyplot as plt
##Read data file
df = pd.read_csv("Data.csv",encoding='cp1252')
def wordcloud_draw(data, color = 'black'):
words = '
我目前正在通过插值一组点(my_data)来创建图像,然后通过打开创建的图像来访问插值的像素数据:
from matplotlib import pyplot as plt
import numpy as np
import matplotlib.image as mpimg
fig = plt.figure(frameon=False)
fig.set_size_inches(5, 3)
plt.axis('off')
plt.imshow(my_data, interpolation='bilinear',origin='lower')
p