Hi everyone I'm trying to build a function that looks into a CSV file and returns me the group of data in a particular week.
def searchWeek(week_Number):
#dataLakeWeek = dataLake.groupby(dataLake.Week)
week = dataLake.loc[dataLake["Week"] == f"{week_Number}","Agent":"atingimento"]
week.groupby(dataLake['Week'])
print(week)
So the idea would be to return all the data within week one grouped by week but by agents also. So if Guto R. has more then one data entry the date would add
day Agent Resolved Meta Week Year
0 2021-01-04 Bárbara D. 95 52 1 2021
1 2021-01-04 Danielly 83 52 1 2021
2 2021-01-04 Guto R. 125 52 1 2021
3 2021-01-04 Helaine S. 19 52 1 2021
4 2021-01-04 João M. 94 52 1 2021
5 2021-01-04 Guto R. 125 52 1 2021
Result would be
day Agent Resolved Meta Week Year
10 2021-01-04 Guto R. 250 104 1 2021
Use groupby_agg:
out = df.groupby(['Week', 'Year', 'Agent'], as_index=False) \
.agg({'day': 'first', 'Agent': 'first', 'Resolved': 'sum',
'Meta': 'sum', 'Week': 'first', 'Year': 'first'})
print(out)
# Output
day Agent Resolved Meta Week Year
0 2021-01-04 Bárbara D. 95 52 1 2021
1 2021-01-04 Danielly 83 52 1 2021
2 2021-01-04 Guto R. 250 104 1 2021
3 2021-01-04 Helaine S. 19 52 1 2021
4 2021-01-04 João M. 94 52 1 2021