我有这个Pandas数据帧：
BTC_USD_rates = {
"Open": {"01/01/2022": 46217.5, "02/01/2022": 47738.7, "03/01/2022": 47293.9, "04/01/2022": 46435.7, "05/01/2022": 45833.1, "06/01/2022": 43431.6, "07/01/2022": 43097.9, "08/01/2022": 41551.3},
"Low": {"01/01/2022": 46217.5, "02/01/2022": 46718.2, "03/01/2022": 45704.0, "04/01/2022": 45602.1, "05/01/2022": 42535.1, "06/01/2022": 42481.1, "07/01/2022": 40810.0, "08/01/2022": 40574.3},
"High": {"01/01/2022": 47917.6, "02/01/2022": 47944.9, "03/01/2022": 47556.0, "04/01/2022": 47505.4, "05/01/2022": 47019.4, "06/01/2022": 43772.3, "07/01/2022": 43127.7, "08/01/2022": 42304.4},
"Close": {"01/01/2022": 47738.0, "02/01/2022": 47311.8, "03/01/2022": 46430.2, "04/01/2022": 45837.3, "05/01/2022": 43425.9, "06/01/2022": 43097.5, "07/01/2022": 41546.7, "08/01/2022": 41672.0},
"Volume": {"01/01/2022": 31239, "02/01/2022": 27020, "03/01/2022": 41062, "04/01/2022": 55589, "05/01/2022": 83744, "06/01/2022": 63076, "07/01/2022": 88358, "08/01/2022": 52544},
}
df1 = pd.DataFrame.from_dict(BTC_USD_rates)
df1
Open Low High Close Volume
01/01/2022 46217.5 46217.5 47917.6 47738.0 31239
02/01/2022 47738.7 46718.2 47944.9 47311.8 27020
03/01/2022 47293.9 45704.0 47556.0 46430.2 41062
04/01/2022 46435.7 45602.1 47505.4 45837.3 55589
05/01/2022 45833.1 42535.1 47019.4 43425.9 83744
06/01/2022 43431.6 42481.1 43772.3 43097.5 63076
07/01/2022 43097.9 40810.0 43127.7 41546.7 88358
08/01/2022 41551.3 40574.3 42304.4 41672.0 52544
我需要将它乘以另一个数据帧df2的Close列，如下所示：
new_rates
Open Low High Close
01/01/2022 1.4732 1.4732 1.4732 1.4732
02/01/2022 1.4732 1.4732 1.4732 1.4732
03/01/2022 1.4650 1.4583 1.4763 1.4732
04/01/2022 1.4719 1.4651 1.4784 1.4669
05/01/2022 1.4669 1.4669 1.4669 1.4669
06/01/2022 1.4717 1.4708 1.4854 1.4817
07/01/2022 1.4819 1.4733 1.4849 1.4741
08/01/2022 1.4741 1.4741 1.4741 1.4741
df2 = new_rates['Close']
df2
01/01/2022 1.4732
02/01/2022 1.4732
03/01/2022 1.4732
04/01/2022 1.4669
05/01/2022 1.4669
06/01/2022 1.4817
07/01/2022 1.4741
08/01/2022 1.4741
Name: Close, dtype: float64
但当我运行这行代码时，我总是得到df1，其结果与我将其所有元素乘以1:的结果相同
df1.mul(df2, axis = 0)
df1
Open Low High Close Volume
01/01/2022 46217.5 46217.5 47917.6 47738.0 31239
02/01/2022 47738.7 46718.2 47944.9 47311.8 27020
03/01/2022 47293.9 45704.0 47556.0 46430.2 41062
04/01/2022 46435.7 45602.1 47505.4 45837.3 55589
05/01/2022 45833.1 42535.1 47019.4 43425.9 83744
06/01/2022 43431.6 42481.1 43772.3 43097.5 63076
07/01/2022 43097.9 40810.0 43127.7 41546.7 88358
08/01/2022 41551.3 40574.3 42304.4 41672.0 52544
我在这里错过了什么？
函数属性.mul((不会在内存中更改df1变量相反，它返回乘法运算的结果。
你需要做的是像这样重新分配df1，
df1 = df1.mul(df2, axis = 0)
你的df1将被修改