pandas 如何将熊猫数据框中的每一行乘以不同的值
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How to multiply each row in pandas dataframe by a different value
提问by johnchase
I am trying to multiply each row of a pandas dataframe by a different value and wondering what the best way to do this is.
我正在尝试将 Pandas 数据帧的每一行乘以不同的值，并想知道这样做的最佳方法是什么。
For example if I have the following dataframe:
例如，如果我有以下数据框：
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.randn(2, 3))
df
0 1 2
0 -1.283316 0.849488 1.936060
1 -2.078575 -0.871570 -0.970261
I want to multiply each element of each row by a different in a list or array
我想将每行的每个元素乘以列表或数组中的不同元素
vals = [1, 100]
In this example I want each item in the first row to be multiplied by 1 and each item in the second row to be multiplied by 100
在这个例子中，我希望第一行中的每个项目都乘以 1，第二行中的每个项目都乘以 100
the result should therefore be:
因此，结果应该是：
0 1 2
0 -1.283316 0.849488 1.936060
1 -207.8575 -87.1570 -97.0261
I have tried:
我试过了：
df * vals
df.multiply(vals)
df.multiply(vals, axis=1)
None of which work, although I was not expecting them too, based on my understanding of what that code should do. I can't figure out a concise way to do this with pandas, any help is appreciated, thanks.
根据我对代码应该做什么的理解，这些都不起作用，尽管我也没有预料到它们。我想不出用Pandas来做这件事的简洁方法，感谢任何帮助，谢谢。
