[英]How to loop over group by pandas dataframes?
我是 Python 初学者,我有这个代码:
levage_mean = df.groupby('cum_cycle_id')['levage'].mean().rename("levage_mean")
levage_min = df.groupby('cum_cycle_id')['levage'].min().rename("levage_min")
levage_max = df.groupby('cum_cycle_id')['levage'].max().rename("levage_max")
levage_sum = df.groupby('cum_cycle_id')['levage'].sum().rename("levage_sum")
load_min= df.groupby('cum_cycle_id')['load'].min().rename("load_min")
load_max = df.groupby('cum_cycle_id')['load'].max().rename("load_max")
load_mean = df.groupby('cum_cycle_id')['load'].mean().rename("load_mean")
load_sum = df.groupby('cum_cycle_id')['load'].sum().rename("load_sum")
load_median = df.groupby('cum_cycle_id')['load'].median().rename("load_median")`
我想把它放在一个循环中,因为它太重复了,我该怎么办?
感谢您的回复!
你可以试试这个:
init_list = []
my_list = ['leaf_', 'load_']
mean_min_max_list = ['mean', 'min', 'max', 'sum']
for item in my_list:
for ele in mean_min_max_list:
curr = df.groupby('cum_cycle_id')[item].mean().rename(item + ele)
init_list.append(curr)
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