您可能对
pd.cut：
>>> df.groupby(pd.cut(df["B"], np.arange(0, 1.0+0.155, 0.155))).sum()A BB (0, 0.155] 2.775458 0.246394(0.155, 0.31] 1.123989 0.471618(0.31, 0.465] 2.051814 1.882763(0.465, 0.62] 2.277960 1.528492(0.62, 0.775] 1.577419 2.810723(0.775, 0.93] 0.535100 1.694955(0.93, 1.085] NaN NaN[7 rows x 2 columns]
