Selecting Pandas Columns by dtype

Question

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.

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Answer 1

Optionally if you don't want to create a subset of the dataframe during the process, you can directly iterate through the column datatype.

I haven't benchmarked the code below, assume it will be faster if you work on very large dataset.

[col for col in df.columns.tolist() if df[col].dtype not in ['object','