Trying to condense data in several columns across multiple rows based on a common column value - python/pandas
Question
I've got some data I'm trying to reorganize in my pandas dataframe. Here is a snippet PNG:
So for each Date_Time reading there are 7 rows. What I want to do is condense those 7 rows down into one. And I want to sum all the important data columns (Voltage, Current, ChargeCapacity, DischargeCapacity, ChargeEnergy, DischargeEnergy, and dV/dt(V/s). Thank you!
1 answers
solution1
0 ACCPTED 2022-02-02 09:31:46
How about this?
df.groupby("Date_Time")[["Voltage", "Current", "ChargeCapacity", "DischargeCapacity", "ChargeEnergy", "DischargeEnergy", "and dV/dt(V/s)"]].sum()
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