Python Pandas - Deleting multiple series from a data frame in one command

Question

In short ... I have a Python Pandas data frame that is read in from an Excel file using \'read_table\'. I would like to keep a handful of the series from the data, and purg

Answer 1

You can use the DataFrame drop function to remove columns. You have to pass the axis=1 option for it to work on columns and not rows. Note that it returns a copy so you have to assign the result to a new DataFrame:

In [1]: from pandas import *

In [2]: df = DataFrame(dict(x=[0,0,1,0,1], y=[1,0,1,1,0], z=[0,0,1,0,1]))

In [3]: df
Out[3]:
   x  y  z
0  0  1  0
1  0  0  0
2  1  1  1
3  0  1  0
4  1  0  1

In [4]: df = df.drop(['x','y'], axis=1)

In [5]: df
Out[5]:
   z
0  0
1  0
2  1
3  0
4  1