'NaTType' object has no attribute 'days'

Question

I have a column in my dataset which represents a date in ms and sometimes its values is nan (actually my columns is of type str and sometimes its valus is 'nan' ). I want to compute the epoch in days of this column. The problem is that when doing the difference of two dates:

(pd.to_datetime('now') - pd.to_datetime(np.nan)).days

if one is nan it is converted to NaT and the difference is of type NaTType which hasn't the attribute days .

In my case I would like to have nan as a result.

Other approach I have tried: np.datetime64 cannot be used, since it cannot take as argument nan . My data cannot be converted to int since int doesn't have nan .

Answer 1

It will just work even if you filter first:

In [201]:
df = pd.DataFrame({'date':[dt.datetime.now(), pd.NaT, dt.datetime(2015,1,1)]})
df

Out[201]:
                        date
0 2015-08-28 12:12:12.851729
1                        NaT
2 2015-01-01 00:00:00.000000

In [203]:
df.loc[df['date'].notnull(), 'days'] = (pd.to_datetime('now') - df['date']).dt.days
df

Out[203]:
                        date  days
0 2015-08-28 12:12:12.851729    -1
1                        NaT   NaN
2 2015-01-01 00:00:00.000000   239

Answer 2

对我来说，从pandas 0.19.2升级到pandas 0.20.3有助于解决此错误。

pip install --upgrade pandas