i’m trying to split my dataframe into 10 rows and find the aggregate function (mean, SD, etc) for each 10 rows then merge it into 1 dataframe again. Previously i had grouped the data using .groupby functio, but having trouble to split the data into 10 rows.
this is what i have code :
def sorting (train): grouped = train.groupby(['Activity']). l_grouped=list(grouped)
i have turn the grouped result into list, but i don’t know if i could separate the rows from each tuple?
i could access the grouped result using :
for i in range(len(df_sort)): print(df_sort[i])
but the result is in tuple and i don’t know if i could separate each 10 rows from the tuple. Thank you
Source: Python Questions