我是 Python 初學(xué)者，我有以下代碼：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")`我想把它放在一個(gè)循環(huán)中，因?yàn)樗貜?fù)了，我該怎么辦？謝謝您的回復(fù)！
1 回答
繁華開滿天機(jī)
TA貢獻(xiàn)1816條經(jīng)驗(yàn) 獲得超4個(gè)贊
你可以試試這個(gè)：
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)
添加回答
舉報(bào)
0/150
提交
取消