Find the end of the month Pandas DataFrame Series

Question

I have a series within a DataFrame that I read in initially as an object, and then need to convert it to a date in the form of yyyy-mm-dd where dd is the end of the month.

Answer 1

Agreed that root offers is the right method. However, readers who blindly use MonthEnd(1) are in for a surprise if they use the last date of the month as an input:

In [4]: pd.Timestamp('2014-01-01')+MonthEnd(1)
Out[4]: Timestamp('2014-01-31 00:00:00')

In [5]: pd.Timestamp('2014-01-31')+MonthEnd(1)
Out[5]: Timestamp('2014-02-28 00:00:00')

Using MonthEnd(0) instead gives this:

In [7]: pd.Timestamp('2014-01-01')+MonthEnd(0)
Out[7]: Timestamp('2014-01-31 00:00:00')

In [8]: pd.Timestamp('2014-01-31')+MonthEnd(0)
Out[8]: Timestamp('2014-01-31 00:00:00')

#Additional Example
from pandas.tseries.offsets import MonthEnd
# Month End of Current Time's Month in String Format
(pd.Timestamp.now()+MonthEnd(0)).strftime('%Y-%m-%dT00:00:00')