I was wondering 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.
Multiple includes for selecting columns with list of types for example- float64 and int64
df_numeric = df.select_dtypes(include=[np.float64,np.int64])