以下是所有安装和导入:

!pip install wordcloud 
!pip install fileupload 
!pip install ipywidgets 
!jupyter nbextension install --py --user fileupload 
!jupyter nbextension enable --py fileupload 
 
import wordcloud 
import numpy as np 
from matplotlib import pyplot as plt 
from IPython.display import display 
import fileupload 
import io 
import sys 

这是上载器小部件:

from IPython.display import display 
import fileupload 
 
uploader = fileupload.FileUploadWidget() 
 
def _handle_upload(change): 
    w = change['owner'] 
    with open(w.filename, 'wb') as f: 
        f.write(w.data) 
    print('Uploaded `{}` ({:.2f} kB)'.format( 
        w.filename, len(w.data) / 2**10)) 
 
uploader.observe(_handle_upload, names='data') 
 
display(uploader) 

Wordcloud程序:

def calculate_frequencies(file_contents): 
    # Here is a list of punctuations and uninteresting words you can use to process your text 
    punctuations = '''!()-[]{};:'"\,<>./?@#$%^&*_~''' 
    uninteresting_words = ["the", "a", "to", "if", "is", "it", "of", "and", "or", "an", "as", "i", "me", "my", \ 
    "we", "our", "ours", "you", "your", "yours", "he", "she", "him", "his", "her", "hers", "its", "they", "them", \ 
    "their", "what", "which", "who", "whom", "this", "that", "am", "are", "was", "were", "be", "been", "being", \ 
    "have", "has", "had", "do", "does", "did", "but", "at", "by", "with", "from", "here", "when", "where", "how", \ 
    "all", "any", "both", "each", "few", "more", "some", "such", "no", "nor", "too", "very", "can", "will", "just"] 
 
    # LEARNER CODE START HERE 
    non_punctuation_text="" 
    for char in file_contents: 
        if char not in punctuations: 
            non_punctuation_text=non_punctuation_text+char 
    words=non_punctuation_text.split() 
    clean_words=[] 
    frequencies={} 
 
    for word in words: 
        if word.isalpha(): 
            if word not in uninteresting_words: 
                clean_words.append(word) 
    for alpha_word in clean_words: 
        if alpha_word not in frequencies: 
            frequencies[alpha_word]=1 
        else: 
            frequencies[alpha_word]+=1 
    #wordcloud 
    cloud = wordcloud.WordCloud() 
    cloud.generate_from_frequencies(frequencies) 
    return cloud.to_array() 

显示我们的wordcloud图片:

myimage = calculate_frequencies(file_contents) 
plt.imshow(myimage, interpolation = 'nearest') 
plt.axis('off') 
plt.show() 

错误信息:

NameError                                 Traceback (most recent call last) 
<ipython-input-2-fd0f708f372c> in <module> 
      1 # Display your wordcloud image 
      2  
----> 3 myimage = calculate_frequencies(file_contents) 
      4 plt.imshow(myimage, interpolation = 'nearest') 
      5 plt.axis('off') 
 
NameError: name 'file_contents' is not defined 

我缺少 file_contents参数的哪一部分？为什么不显示wordcloud？
我尝试从 .txt小部件上传不同的 uploader文档，但没有帮助。

请您参考如下方法:

您必须将文件/文本添加为​​calculate_frequencies函数的输入。
Here is an example.

 myimage = calculate_frequencies("Humpty Dumpty is a character in 
 an English nursery rhyme, probably originally a riddle and one of the 
 best known in the English-speaking world. He is typically portrayed  
as an anthropomorphic egg, though he is not explicitly described  
as such. ")   
plt.imshow(myimage, interpolation = 'nearest')  
plt.axis('off') plt.show() 

只需从网站上复制粘贴任何随机段落，然后看到“云”这个词就可以活跃起来了。
:)