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

You can use :

for i in x.columns[x.dtypes == 'object']:   print(i)

incase you just want to display only the column names of a particular dataframe rather than a sliced dataframe. Don't know if any function as such exits for python.

PS : replace object with the datatype you want.