我在Coursera上做了一个作业并成功通过。我在Jupyter notebook上编译并得到了准确的结果。https://poskzjbvcahynihgdhljpw.coursera-apps.org/notebooks/C1M6L2_Final_Project_V3.ipynb
我在我的pycharm上输入了类似的代码：
但我得到了一个错误：

import wordcloud
import numpy as np
from matplotlib import pyplot as plt
from IPython.display import display
import fileupload
import io
import sys

# This is the uploader widget

def _upload():

    _upload_widget = fileupload.FileUploadWidget()

    def _cb(change):
        global file_contents
        decoded = io.StringIO(change['owner'].data.decode('utf-8'))
        filename = change['owner'].filename
        print('Uploaded `{}` ({:.2f} kB)'.format(
            filename, len(decoded.read()) / 2 **10))
        file_contents = decoded.getvalue()

    _upload_widget.observe(_cb, names='data')
    display(_upload_widget)

_upload()

def calculate_frequencies(file_contents):
    # Here is a list of punctuations and uninteresting words,use to process the 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"]
    count_frequency = {}

    for contents in file_contents:
        if (contents not in punctuations) and (contents not in uninteresting_words):
            if contents not in count_frequency:
                count_frequency[contents] = 1
            else:
                count_frequency[contents] += 1

    # wordcloud
    cloud = wordcloud.WordCloud()
    cloud.generate_from_frequencies(count_frequency)
    return cloud.to_array()

# Displaying my wordcloud image

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

Traceback (most recent call last):
      File "/home/ashik/PycharmProjects/RawCodes/final_project_google_crash_course_with_python.py", line 54, in <module>
        myimage = calculate_frequencies(file_content)
    NameError: name 'file_content' is not defined
    FileUploadWidget(label='Browse', _dom_classes=('widget_item', 'btn-group'))
    
    Process finished with exit code 1