将 5 分钟值转换为 15 分钟值

Question

I have the following data as Dataframe:

As can be seen, the data is available in 5 minute steps. Now i want to convert the 5-min steps to 15-min steps. The columns "Verbrauch (kWh)" and "Leistung" should convert to the mean of the 15-min intervall.

I am able to convert to hourly data with the following:

df.groupby(df["Zeitpunkt"].dt.strftime('%Y-%m-%d %H-')).mean()

But how do i do that with 15min steps?

Answer 1

first replace "_" with nan:

import numpy as np
df = df.replace('_', np.nan)

then use resample and get means:

df['Zeitpunkt']=pd.to_datetime(df['Zeitpunkt'])
final= df.set_index('Zeitpunkt').sort_index().resample('15Min').agg({'Verbrauch (kWh)':'mean','Leistung':'mean'})