<jupyter_start><jupyter_text><jupyter_code>#data frame
import pandas as pd


emt_df=pd.DataFrame()
print(emt_df)
list=['a','b','c']
print(list)
ls_of_ls=[[1,2,3],[2,3,4],[4,5,6]]
print(ls_of_ls)
df2=pd.DataFrame(ls_of_ls)
print(df2)
dict1={'id':[11,22,33,44],'sn':[1,2,3,4]}
df3=pd.DataFrame(dict1)
print(df3)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.23893805309734514, 'fraction_numerical': 0.07964601769911504, 'mean_word_length': 14.454545454545455, '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': '87336', 'license': 'MIT', 'n_tokens_mistral': 187, 'n_tokens_neox': 178, 'n_words': 17, 'path': 'python pandas.ipynb', 'repo_name': 'Gyanajitdas/work', 'size': '339'}