How can I select 'last business day of the month' in Pandas?

Question:

I’m trying to subset a DataFrame on the condition that is the last of the month. I used:

df['Month_End'] = df.index.is_month_end
sample = df[df['Month_End'] == 1]

This works, but I’m working with stock market data, so I’m missing all the instances where the actual end of the month is during the weekend, I need a way to select the “last business day of the month”.

Asked By: hernanavella

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Source

Answers:

You can generate a time series with the last business day of each month by passing in freq='BM'.

For example, to create a series of the last business days of 2014:

>>> pd.date_range('1/1/2014', periods=12, freq='BM')
[2014-01-31 00:00:00, ..., 2014-12-31 00:00:00]
Length: 12, Freq: BM, Timezone: None

You could then use this timeseries to subset/reindex your DataFrame.

Answered By: Alex Riley

Instead of generating the series, you can also parse the business month end from your datetime index as this:

df['BMonthEnd'] = (df.index + pd.offsets.BMonthEnd(1)).day

Though note this currently throws a harmless warning – see http://pandas.pydata.org/pandas-docs/stable/timeseries.html#using-offsets-with-series-datetimeindex

Note: if day (d) is already the last business day of the month then d + pd.offsets.BMonthEnd(1) will give the last business day of the following month. If this is undesired, use pd.offsets.BMonthEnd(0) instead:

df['BMonthEnd'] = (df.index + pd.offsets.BMonthEnd(0)).day
Answered By: tsando

This is to filter the last business day of each month from your DataFrame object given the index is of datetime type.
df.resample('BM').mean()

Answered By: Tèo