TypeError：圖像數據無法在 wordcloud 項目上轉換為浮點數

Question

所以我們有這個代碼實踐來創建一個詞雲，看起來很簡單，因為它只是創建一個字典......但不知何故，他們提供的執行詞雲的代碼給了我一個錯誤

"TypeError: Image data cannot be converted to float". 

我檢查了我自己的計算機上使用的相同文本文件，只是為了生成字典，並證實這些值確實是整數，所以我被卡住了。 在下面發布此處提供的所有代碼：

!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

這是他們給我們的上傳器小部件

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()

我寫的代碼來了

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"]

# My Code
    frequencies = {}
    floatdic = {}
    case = file_contents.split()
    for word in case:
        words = word.strip(punctuations)
        lower = words.lower()
        if lower.isalpha() == False or lower in uninteresting_words:
            continue
        elif lower not in frequencies:
            frequencies[lower]= 0
        frequencies[lower]+=1
    return frequencies
    #Their Code Provided for wordcloud
    cloud = wordcloud.WordCloud()
    cloud.generate_from_frequencies(frequencies)
    cloud.to_file("myfile.jpg")
    return cloud.to_array()

然后他們給出這段代碼來執行詞雲

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

它在“plt.imshow”行上崩潰。 如果有幫助，他們會在 Jupyter 筆記本上運行這些代碼

Answer 1

我能夠解決這個問題！ 我意識到我有

return frequencies

在我用來測試字典的代碼末尾，忘記為詞雲 function 刪除它。 一旦完成，詞雲就完美地工作了！