removing subfolder etudes-amendements

etudes-amendements/__init__.py

-__version__ = "0.0.1"

etudes-amendements/_nbdev.py

-# AUTOGENERATED BY NBDEV! DO NOT EDIT!
-
-__all__ = ["index", "modules", "custom_doc_links", "git_url"]
-
-index = {"load_data": "02_word_count.ipynb",
-         "amdt": "02_word_count.ipynb",
-         "build_word_cloud": "02_word_count.ipynb"}
-
-modules = ["word_count.py"]
-
-doc_url = "https://leximpact.github.io/etudes-amendements/"
-
-git_url = "https://github.com/leximpact/etudes-amendements/tree/main/"
-
-def custom_doc_links(name): return None

etudes-amendements/word_count.py

-# AUTOGENERATED! DO NOT EDIT! File to edit: notebook/02_word_count.ipynb (unless otherwise specified).
-
-__all__ = ['load_data', 'amdt', 'build_word_cloud']
-
-# Cell
-import pickle
-import pandas as pd
-from urllib.request import urlopen
-from collections import Counter
-from wordcloud import WordCloud
-
-# Cell
-amdt = None
-def load_data():
-    global amdt
-    data_words = pickle.load(urlopen("https://github.com/leximpact/etudes-amendements/raw/nbdev/notebook/data/amdt_data_words.pickle"))
-    amdt = pd.read_csv('https://github.com/leximpact/etudes-amendements/raw/nbdev/notebook/data/amdt_sans_stopword.csv.gz')
-
-    word_count = Counter(data_words)
-    word_count.most_common(30)
-
-# Cell
-# Import the wordcloud library
-
-
-
-# Cell
-def build_word_cloud():
-    # Join the different processed titles together.
-    long_string = ' '.join(list(amdt['txt_sans_stopword'].values))
-    # Create a WordCloud object
-    wordcloud = WordCloud(background_color="white", width=1000, height=800, max_words=5000, contour_width=3, contour_color='steelblue')
-    # Generate a word cloud
-    wordcloud.generate(long_string)
-    # Visualize the word cloud
-    return wordcloud