Computer scienceData scienceInstrumentsPandasData preprocessing with pandas

Modifying a DataFrame

The missing index

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Suppose we deleted the 100th (indexed from 0) row from the dataframe, df, as follows:

df.drop(index=99, inplace=True)

Will the index change? If so, how to fix it?

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The index will not change

The dataframe will have the 99th row label missing, calling .reset_index(drop=True, inplace=True) will reset the index

Internally, the 99th row label will be dropped at first, but since inplace=True, it will be reset automatically

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