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| data.describe() |
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| data[data['column_1'].isin(['french', 'english'])] |
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| data['column_1'].map(len).map(lambda x: x/100).plot() |
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| from tqdm import tqdm_notebook | |
| tqdm_notebook().pandas() |
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| data['column_1'].progress_map(lambda x: x.count('e')) |
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| data.corr() | |
| data.corr().applymap(lambda x: int(x*100)/100) |
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| pd.plotting.scatter_matrix(data, figsize=(12,8)) |
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| data.merge(other_data, on=['column_1', 'column_2', 'column_3']) |
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| data.groupby('column_1')['column_2'].apply(sum).reset_index() |
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| dictionary = {} | |
| for i,row in data.iterrows(): | |
| dictionary[row['column_1']] = row['column_2'] |