<jupyter_start><jupyter_text>Load a sheet into a DataFrame by name<jupyter_code>df1=xl.parse('bdonly')
df1.head()<jupyter_output><empty_output><jupyter_text>Load the sheet 2002 into the DataFrame df2 using its index<jupyter_code>df2= xl.parse(0)
df2.head()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.11888111888111888, 'fraction_numerical': 0.03496503496503497, 'mean_word_length': 10.48, 'pattern_counts': {'":': 0, '<': 9, '<?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': '600587', 'license': 'MIT', 'n_tokens_mistral': 121, 'n_tokens_neox': 116, 'n_words': 21, 'path': 'import data part 1/Importing sheets from Excel files.ipynb', 'repo_name': 'nazmusshakib121/Importing-Cleaning-Data-with-Python', 'size': '286'}