Computer scienceData scienceInstrumentsPandasData preprocessing with pandas

Modifying a DataFrame

Brand new row

Report a typo

Imagine a DataFrame with three columns 'col1', 'col2', 'col3'. How could you add a new row containing values 1, 2, 3?

Select one option from the list

pd.concat([df, pd.DataFrame.from_records([{'col1': 1, 'col2': 2, 'col3': 3}])], ignore_index=True)

df = df.append([col1: 1, col2: 2, col3: 3], ignore_index=True)

df['row'] = [1, 2, 3]

pd.concat([df, {'col1': 1, 'col2': 2, 'col3': 3}], ignore_index=True)

___

Create a free account to access the full topic