How to select columns from dataframe by regex

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 .

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

From: stackoverflow.com/q/30808430