Get all columns with datetime type using pandas?

Question

I have a huge DataFrame where the columns aren\'t ever in order nor do I know their name.

What do I do to find all the columns which are datetime types?

Most of

Answer 1

You can use pandas.DataFrame.select_dtypes(), and include only the datetime64 type.

df.select_dtypes(include=['datetime64'])

Demo

>>> df
         dts1       dts2  ints
0  2012-01-01 2004-01-01     0
1  2012-01-02 2004-01-02     1
2  2012-01-03 2004-01-03     2
..        ...        ...   ...
97 2012-04-07 2004-04-07    97
98 2012-04-08 2004-04-08    98
99 2012-04-09 2004-04-09    99

>>> df.select_dtypes(include=['datetime64'])
         dts1       dts2
0  2012-01-01 2004-01-01
1  2012-01-02 2004-01-02
2  2012-01-03 2004-01-03
..        ...        ...
97 2012-04-07 2004-04-07
98 2012-04-08 2004-04-08
99 2012-04-09 2004-04-09

Answer 2

Since each column of a pandas DataFrame is a pandas Series simply iterate through list of column names and conditionally check for series.dtype of datetime (typically datetime64[ns]):

for col in df.columns:
   if df[col].dtype == 'datetime64[ns]':
      print(col)

Or as list comprehension:

[col for col in df.columns if df[col].dtype == 'datetime64[ns]']

Or as a series filter:

df.dtypes[df.dtypes=='datetime64[ns]']