Computer scienceData scienceInstrumentsPandasStoring data with pandas

Accessing data in a DataFrame

New indexing

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Imagine a DataFrame with 5 rows where the rows are labeled with numbers from 0 to 4. You want to change the index into row, row2, ..., row5. How can you do it?

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df.rename(index={0: 'row', 1: 'row2', 2: 'row3', 3: 'row4', 4: 'row5'})

df.index = ['row', 'row2', 'row3', 'row4', 'row5']

df.rename(index=[0: 'row', 1: 'row2', 2: 'row3', 3: 'row4', 4: 'row5'])

df.reset_index(inplace=True)

df.set_index(['row', 'row2', 'row3', 'row4', 'row5'], inplace=True)

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