Selecting Pandas Columns by dtype

Question

I wanted to know if there is an elegant and shorthand way in Pandas DataFrames to select columns by data type (dtype). i.e. Select only int64 columns from a DataFrame.

For example, something like:

df.select_columns(dtype=float64)

Can anyone help me with this?

Answer 1

You can use the following:

df.loc[:, df.dtypes == np.float64]