Answers for "pandas select columns by data type"

get columns based on dtype pandas

>>df.select_dtypes(include='object').columns

Index(['C', 'D'], dtype='object')

get columns by type pandas

In [2]: df = pd.DataFrame({'NAME': list('abcdef'),
    'On_Time': [True, False] * 3,
    'On_Budget': [False, True] * 3})

In [3]: df.select_dtypes(include=['bool'])
Out[3]:
  On_Budget On_Time
0     False    True
1      True   False
2     False    True
3      True   False
4     False    True
5      True   False

In [4]: mylist = list(df.select_dtypes(include=['bool']).columns)

In [5]: mylist
Out[5]: ['On_Budget', 'On_Time']

select columns pandas

df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.