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Python legit verbum lima et verbum nubes describunt

2024-07-12

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1. bibliothecas install necesse est

pip install python-docx wordcloud matplotlib
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2. The code

import docx
from wordcloud import WordCloud
import matplotlib.pyplot as plt

# 读取Word文件内容
def read_word_file(file_path):
    doc = docx.Document(file_path)
    full_text = []
    for para in doc.paragraphs:
        full_text.append(para.text)
    return 'n'.join(full_text)

# 生成词云图
def generate_wordcloud(text):
    wordcloud = WordCloud(width=800, height=400, background_color='white').generate(text)
    
    # 显示词云图
    plt.figure(figsize=(10, 5))
    plt.imshow(wordcloud, interpolation='bilinear')
    plt.axis('off')
    plt.show()

# 主函数
def main():
    file_path = 'your_word_file.docx'  # 替换为你的Word文件路径
    text = read_word_file(file_path)
    generate_wordcloud(text)

if __name__ == "__main__":
    main()

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3. Modify Chinese garbled errores

Animadverte:
Si characteribus Sinensibus interpolatae sunt, eas his modis mutare potes:
Insert imaginem descriptionis hic
Add font

wordcloud = WordCloud(width=800, height=400, background_color='white', font_path='simhei.ttf').generate(text)
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Insert imaginem descriptionis hic

Effectus post modificationem;
Insert imaginem descriptionis hic

4. explicandum

Explicatio

Bibliotheca instruitur:

  • Python-docx: Verbi files legebat.
  • wordcloud: nubes ad generandum verbum describunt.
  • matplotlib: nubes charts ad ostentationem verbi.

Legere contentum Verbi file:

  • Utere Documenti genere python-docx ad lima Verbum legere.
  • Iterare super paragraphos in instrumento, textum cuiusque paragraphi ad album addendo.
  • Textum omnium paragraphorum compone in unum chordum.

Verbum generate nubes tabula:

  • Utere the wordCloud class of wordcloud to generate verbum nube graph.
  • Pone latitudinem, altitudinem, color colorque verbi nubem.
  • Voca methodum generandi nubem graphi verbi generandi.
  • Utere matplotlib ad ostentationem verbi nube insidiis.

Cautiones

  • Fac semita verbi tui recta.
  • Parametri vocabuli nubem schematismi accommodare potes prout opus est, ut color, fons, etc.
  • Si verba multa communia sunt vel verba in textu tuo desinunt, eos excludere potes utentes parametris VerbiCloud stropharum.

Per gradus superiores, facile potes legere Verbum lima et pulchra verba nubes diagram generare.