How to Convert Multiple Types in a Pandas DataFrame

How can we convert the types of multiple columns at once in a DataFrame?

We can use astype() to achieve this.

Cast a single column with `astype()`

Suppose we have a column col that is of type float. We want to convert that to an int type.

We can do this like so.

df['col'] = df['col'].astype(int)

We can confirm that the casting was successful by checking the DataFrame dtypes.

print(df.dtypes)

If we want to cast multiple columns, we can pass in a dictionary of column names along with the desired dtype.

df = df.astype({'col1': float, 'col2': str})

Once again, let’s confirm that everything converted as expected.

print(df.dtypes)

Read the Pandas documentation to learn about what other dtypes are available for casting.