<jupyter_start><jupyter_text><jupyter_code>df.prices_currency.unique()<jupyter_output><empty_output><jupyter_text><jupyter_code>df.prices_currency.value_counts()
df.prices_currency.value_counts(normalize=True)
df_cad = df[ df.prices_currency == 'CAD'].copy()
df_cad.shape
df_cad.prices_amountmax.head()
df_cad['prices_amountmin'] = df_cad.prices_amountmin.astype(np.float)
df_cad['prices_amountmin'].hist(bins=100)
filter_max = np.percentile( df_cad['prices_amountmin'], 95)
df_cad_filter = df_cad[ df_cad['prices_amountmin'] < filter_max ]
df_cad_filter['prices_amountmin'].hist(bins=100)
df_cad_filter = df_cad[ df_cad['prices_amountmin'] < 100 ]
df_cad_filter['prices_amountmin'].hist(bins=100)
!git add women/Womens_shoes.ipynb<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14323258869908015, 'fraction_numerical': 0.018396846254927726, 'mean_word_length': 12.137931034482758, 'pattern_counts': {'":': 0, '<': 11, '<?xml version=': 0, '>': 9, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '549420', 'license': 'MIT', 'n_tokens_mistral': 340, 'n_tokens_neox': 309, 'n_words': 28, 'path': 'matrix_one/Womens_shoes.ipynb', 'repo_name': 'korespo/dw_matrix', 'size': '761'}