python - Sort data frame in Pandas and draw a bar graph -

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i have result data frame , want sort index column of result data frame. result data frame stores groupby operatation performed

here output of result data frame.

enter image description here

i want sort index column. data types of column int64. right short data alphabets. want draw bar graphs sorted data.

you index contains string representations of dates/periods first need converted before sorting.

result['dates'] = [dt.datetime.strptime(d, "%b %y") d in result.index] result.sort('dates', inplace=true)

to remove column,

result.drop('dates', inplace=true, axis=1)

to use pandas periods (which plotting data):

result['periods'] = [pd.period(dt.datetime.strptime(d, "%b %y"), "m") d in result.index]

to set index:

result = result.reset_index().set_index('periods')

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