pandas convert column to boolean

1df['column_name'] = df['column_name'].astype('bool')
2For example:
3
4import pandas as pd
5import numpy as np
6df = pd.DataFrame(np.random.random_integers(0,1,size=5), 
7                  columns=['foo'])
8print(df)
9#    foo
10# 0    0
11# 1    1
12# 2    0
13# 3    1
14# 4    1
15
16df['foo'] = df['foo'].astype('bool')
17print(df)
18yields
19
20     foo
210  False
221   True
232  False
243   True
254   True
26Given a list of column_names, you could convert multiple columns to bool dtype using:
27
28df[column_names] = df[column_names].astype(bool)
29If you don't have a list of column names, but wish to convert, say, all numeric columns, then you could use
30
31column_names = df.select_dtypes(include=[np.number]).columns
32df[column_names] = df[column_names].astype(bool)