<jupyter_start><jupyter_text>Example 01: unnest recursive dict structure into pandas Dataframe<jupyter_code>dict_ = {"1" : 2, "3" : {"4" : 5, "6" : 7}}
dict_["test"] = dict_.copy()
new_dict = pandaslib.unnest_dict(dict_)
dict_, new_dict
pd.DataFrame(dict_).head()
pd.DataFrame(pandaslib.listify_dict(new_dict))<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16176470588235295, 'fraction_numerical': 0.026470588235294117, 'mean_word_length': 8.216216216216216, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '211438', 'license': 'MIT', 'n_tokens_mistral': 145, 'n_tokens_neox': 135, 'n_words': 24, 'path': 'notebooks/pandaslib.ipynb', 'repo_name': 'tatevm/supermariopy', 'size': '340'}