I'm really new using Python. I need to achieve the following.
I have a list
[
['1604201722','16/04/2017','22', 100.0, 10.0, 110.0],<br>
['1604201722','16/04/2017','22', 100.0, 10.0, 110.0],<br>
['1604201719','16/04/2017','19', 100.0, 10.0, 110.0]<br>
]
Line structure is
[' ID ',' DATE ','Hour', CANT, CANT, CANT]
['1604201722','16/04/2017','22' , 100.0,10.0, 110.0]
I need to accumulate the values like this:
['1604201722','16/04/2017', '22' , 200.0, 20.0, 240.0]
['1604201719','16/04/2017', '19' , 100.0, 10.0, 110.0]
Try using a pandas dataframe:
import pandas as pd
d = [
['1604201722','16/04/2017','22', 100.0, 10.0, 110.0],
['1604201722','16/04/2017','22', 100.0, 10.0, 110.0],
['1604201719','16/04/2017','19', 100.0, 10.0, 110.0]
]
df= pd.DataFrame(d,columns=['ID','DATE','HOUR','col1','col2','col3'])
print(df.groupby(['ID','DATE','HOUR']).sum())
Which will give this output:
ID DATE HOUR col1 col2 col3
1604201719 16/04/2017 19 100.0 10.0 110.0
1604201722 16/04/2017 22 200.0 20.0 220.0