I want to add a new column with calcuation using data condition from original one.
data that I am using looks like ; enter image description here
I wnat to calcuate number under the duration tap using 'type' columes, and the outcome that i am expecting would be --
team date (core-work/corework-duration)
resolution 2021-09-01 0.9043
resolution 2021-09-02 0.9385
I have been reasearching how to solove that issue, but I lost..... please help me out thanks in advance.
Given the following example:
df = pd.DataFrame({'Team':['Resolution', 'Resolution', 'Resolution', 'Resolution'],
'date':['2021-09-01', '2021-09-01', '2021-09-02', '2021-09-02'],
'Type':['Core-work', 'available', 'Core-work', 'available'],
'duration': [218394, 23102, 225850, 14800]})
print(df)
Team date Type duration
0 Resolution 2021-09-01 Core-work 218394
1 Resolution 2021-09-01 available 23102
2 Resolution 2021-09-02 Core-work 225850
3 Resolution 2021-09-02 available 14800
Divide 'Core-work' duration by the sum of the durations for each Team-date group:
frac_df = df[df['Type'].eq('Core-work')].set_index(['Team', 'date'])[['duration']].div(df.groupby(['Team', 'date']).sum())
print(print(frac_df.reset_index()))
Team date duration
0 Resolution 2021-09-01 0.904338
1 Resolution 2021-09-02 0.938500
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