Computer scienceData scienceInstrumentsPandasData preprocessing with pandas

Working with missing values

Drop rows

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Which line of code drops rows with missing values and saves the result into the original DataFrame?

Tip: axis=0 is a default parameter setting of dropna(), so it's not necessary to specify it explicitly

Select one option from the list

data.isna()

data.dropna(inplace=True)

data.dropna(axis=0)

data.dropna(axis=1, inplace=True)

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