get list of pandas dataframe columns based on data type

Question

If I have a dataframe with the following columns:

1. NAME                                     object
2. On_Time                                      object
         


        

Answer 1

The most direct way to get a list of columns of certain dtype e.g. 'object':

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

For example:

>>df = pd.DataFrame([[1, 2.3456, 'c', 'd', 78]], columns=list("ABCDE"))
>>df.dtypes

A      int64
B    float64
C     object
D     object
E      int64
dtype: object

To get all 'object' dtype columns:

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

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

For just the list:

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

['C', 'D']