Pandas fillna on datetime object

I’m trying to run fillna on a column of type datetime64[ns]. When I run something like: df['date'].fillna(datetime("2000-01-01"))

I get: TypeError: an integer is required

Any way around this?

Answer

This should work in 0.12 and 0.13 (just released).

@DSM points out that datetimes are constructed like: datetime.datetime(2012,1,1) SO the error is from failing to construct the value the you are passing to fillna. Note that using a Timestamp WILL parse the string.

In [3]: s = Series(date_range('20130101',periods=10))

In [4]: s.iloc[3] = pd.NaT

In [5]: s.iloc[7] = pd.NaT

In [6]: s
Out[6]: 
0   2013-01-01 00:00:00
1   2013-01-02 00:00:00
2   2013-01-03 00:00:00
3                   NaT
4   2013-01-05 00:00:00
5   2013-01-06 00:00:00
6   2013-01-07 00:00:00
7                   NaT
8   2013-01-09 00:00:00
9   2013-01-10 00:00:00
dtype: datetime64[ns]

datetime.datetime will work as well

In [7]: s.fillna(Timestamp('20120101'))
Out[7]: 
0   2013-01-01 00:00:00
1   2013-01-02 00:00:00
2   2013-01-03 00:00:00
3   2012-01-01 00:00:00
4   2013-01-05 00:00:00
5   2013-01-06 00:00:00
6   2013-01-07 00:00:00
7   2012-01-01 00:00:00
8   2013-01-09 00:00:00
9   2013-01-10 00:00:00
dtype: datetime64[ns]