如何在 pandas dataframe 中每隔 4 行 select 并计算滚动平均值

Question

I have a pandas dataframe that you can see in the screenshot. The dataframe has a time resolution of 15 minutes (it is generation data). I would like to reduce this time resolution to 1 hour meaning that I should take every 4th row and the value in every 4th row should be the anverage values of the last 4 rows (including this one). So it should be a rolling average with non-overlapping horizons.

I tried the following for one column (wind offshore):

df_generation = pd.read_csv("C:/Users/Desktop/Data/generation_data.csv", sep =",")
df_generation_2 = df_generation
df_generation_2['Wind Offshore Average'] = df_generation_2['Wind Offshore'].rolling(4).mean()

But this is not what I really want. As you can see in the screenshot, my code just created a further column with the average of the last 4th entries for every timeslot. Here the rolling average has overlapping horizons. What I want is to have a new dataframe that only has an entry after every hour (after 4 timslots of the original array). Do you have an idea how I can do that? I'd appreciate every comment.

Answer 1

From looking at your Index it looks like the.resample method is what you are looking for (with many examples for specific uses): https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.resample.html

as in

new = df_generation['Wind Offshore'].resample('1H').mean()