<jupyter_start><jupyter_text>Create dataframes<jupyter_code>import pandas as pd<jupyter_output><empty_output><jupyter_text>Location<jupyter_code>#Data frame to store the locations

loc_df = pd.DataFrame({'id':['01', 'M01'], 'Name':['Nada', 'West End'], 'lat':[49.2638, 49.2828], 'lon':[-123.0895, -123.1302], 'shop':[1, 0]})
loc_df.to_csv('data/loc.csv')
[loc_df["lat"][i] for i in range(loc_df.shape[0])]
[name for name in loc_df['Name']]<jupyter_output><empty_output>
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{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '369476', 'license': 'MIT', 'n_tokens_mistral': 219, 'n_tokens_neox': 199, 'n_words': 33, 'path': 'create_df.ipynb', 'repo_name': 'sirine-chahma/package-free', 'size': '469'}