wordcloud - 图1
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    1. from os import path
    2. from PIL import Image
    3. import numpy as np
    4. import matplotlib.pyplot as plt
    6. from wordcloud import WordCloud, STOPWORDS
    8. ## Read the whole text.
    9. text = open('alice.txt').read()
    11. ## read the mask image
    12. ## taken from
    13. ## http://www.stencilry.org/stencils/movies/alice%20in%20wonderland/255fk.jpg
    14. alice_mask = np.array(Image.open("alice_mask.png"))
    16. stopwords = set(STOPWORDS)
    17. stopwords.add("said")
    19. wc = WordCloud(background_color="white",
    20.                max_words=200, mask=alice_mask,
    21.                max_font_size=200, # 根据你的图片大小定义
    22.                stopwords=stopwords)
    23. ## generate word cloud
    24. wc.generate(text)
    26. ## store to file
    27. wc.to_file("alice.png")
    29. ## show
    30. plt.imshow(wc, interpolation='bilinear')
    31. plt.axis("off")
    32. plt.figure()
    33. plt.imshow(alice_mask, cmap=plt.cm.gray, interpolation='bilinear')
    34. plt.axis("off")
    35. plt.show()
    38. ## remove punctuation
    39. Special = "”"
    40. TT = text.translate(str.maketrans(' ', ' ', string.punctuation))
    41. TT = TT.translate(str.maketrans('', '', string.whitespace[1:]))
    42. TT = TT.translate(str.maketrans('', '', string.digits))
    43. TT = TT.lower()
    44. TT = TT.split(" ")
    45. TT = list(set(TT))
    46. for i in string.ascii_lowercase:
    47.     try:
    48.         TT.remove(i)
    49.     except:
    50.         print(i)
    52. f = open("list",'a')
    53. for i in TT:
    54.     f.write(i+'\n')
    55. f.close()

    https://amueller.github.io/word_cloud/auto_examples/colored.html#colored-py

    Enjoy~

    本文由Python腳本GitHub/語雀自動更新

    由於語法渲染問題而影響閱讀體驗， 請移步博客閱讀～
    本文GitPage地址

    GitHub: Karobben
    Blog:Karobben
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