How to select columns from dataframe by regex

Question

I have a dataframe in python pandas. The structure of the dataframe is as the following:

   a    b    c    d1   d2   d3     10   14   12   44  45    78 

I would like to select the columns which begin with d. Is there a simple way to achieve this in python .

Answer 1

You can use DataFrame.filter this way:

import pandas as pd  df = pd.DataFrame(np.array([[2,4,4],[4,3,3],[5,9,1]]),columns=['d','t','didi']) >>    d  t  didi 0  2  4     4 1  4  3     3 2  5  9     1  df.filter(regex=("d.*"))  >>    d  didi 0  2     4 1  4     3 2  5     1 

The idea is to select columns by regex