I have a question regarding unstack column ordering. Let's take the following DataFrame:
import pandas as pd
df = pd.DataFrame([{'Branch':'A', 'Date':datetime.datetime(2017, 1, 1), 'profit':35},
{'Branch':'B', 'Date':datetime.datetime(2017, 2, 1), 'profit':10},
{'Branch':'A', 'Date':datetime.datetime(2017, 2, 1), 'profit':40},
{'Branch':'B', 'Date':datetime.datetime(2017, 2, 1), 'profit':20},
{'Branch':'A', 'Date':datetime.datetime(2017, 3, 1), 'profit':80},
{'Branch':'B', 'Date':datetime.datetime(2017, 3, 1), 'profit':5}
])
df.set_index('Date', inplace=True)
Now, I would like to do some math before using unstack like this:
tmp = df.groupby([pd.TimeGrouper('M'),'Branch']).sum()
pd.DataFrame(tmp.unstack(level='Date'))
Is there any way so that the resulting DataFrame starts with the latest date (2017-03-31) in the first column and sorts the remaining columns (dates) in decending order?
I have already tried various ways including ( python pandas: reverse df column order ) but it seems that this is not applicable for MultiIndex
Thanks in advance
Try this:
tmp.unstack('Date').sort_index(axis=1, ascending=False)
Output:
profit
Date 2017-03-31 2017-02-28 2017-01-31
Branch
A 80.0 40.0 35.0
B 5.0 30.0 NaN
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