I have a DataFrame with the following structure:
df = df.set_index('timestamp')
print(df.head())
timestamp id value
2018-12-31 23:00:00 5c8fea84763aae175afda38b 98.587768
2018-12-31 23:10:00 5c8fea84763aae175afda38b 107.232742
2018-12-31 23:20:00 5c8fea84763aae175afda38b 104.224153
2018-12-31 23:30:00 5c8fea84763aae175afda38b 104.090750
2018-12-31 23:40:00 5c8fea84763aae175afda38b 99.357023
I need to obtain a new DataFrame with daily max and min values, as well as the mean. I have no problem in obtaining this data and I do it this way:
df = df.resample('D').agg(['min', 'max', 'mean'], columns=['value'])
The problem is that I loose the …