Python Pandas: How do I apply a function requiring an extended class (datetime)?

Question

How can I use pandas apply for a function that requires an extension of a standard class (datetime)?

Specifically, I would like to import datetime_modulo from the excellent gist at https://gist.github.com/treyhunner/6218526.

This code extends the standard datetime class to allow the modulo operation to be applied to datetime objects, e.g.

from datetime_modulo import datetime
from datetime import timedelta
d = datetime.now()
print d % timedelta(seconds=60)

Now I need to apply this modulo operation to a pandas DataFrame column/Series, e.g.

df['dates'] = pd.to_datetime(df.index.values)
df['datetime_mod'] = df['dates'].apply(lambda x: x % timedelta(minutes=15))

But pandas is not able to detect the extended datetime class (unless I am just using it wrongly):

TypeError: unsupported operand type(s) for %: 'Timestamp' and 'datetime.timedelta'

How to proceed?

Answer 1

You can try, as per this suggestion, converting the operand to datetime explicitly:

from datetime_modulo import datetime
from datetime import timedelta

df = pd.DataFrame({'Time': [pd.to_datetime('now')]})

def modulo(x):
    dt = datetime(year=x.year,month=x.month,day=x.day, hour=x.hour, minute=x.minute, second=x.second)
    return dt % timedelta(seconds=60)

df['Time'] = df['Time'].apply(modulo)

Answer 2

In general, you should try to avoid calls to apply in Pandas, as it is very slow. For example, if you're trying to find out the minutes within quarters of hours, you can use:

from datetime import timedelta
df = pd.DataFrame({'dates': pd.to_datetime(['2071-12-12 10:04:44', '2071-12-12 10:30:44'])})
>>> df.dates.dt.minute.mod(15)
0    4
1    0
Name: dates, dtype: int64