在 Pandas 中用标量乘以列
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Multiplying Columns by Scalars in Pandas
提问by Eduardo Sahione
Suppose I have a pandas DataFrame with two columns named 'A' and 'B'.
假设我有一个 Pandas DataFrame，其中有两列名为“A”和“B”。
Now suppose I also have a dictionary with keys 'A' and 'B', and the dictionary points to a scalar. That is, dict['A'] = 1.2 and similarly for 'B'.
现在假设我还有一个带有键“A”和“B”的字典，并且字典指向一个标量。也就是说， dict['A'] = 1.2 和 'B' 类似。
Is there a simple way to multiply each column of the DataFrame by these scalars?
有没有一种简单的方法可以将 DataFrame 的每一列乘以这些标量？
Cheers!
干杯!
回答by Wes McKinney
As Wouter said, the recommended method is to convert the dict to a pandas.Series and multiple the two objects together:
正如 Wouter 所说，推荐的方法是将 dict 转换为 pandas.Series 并将两个对象组合在一起：
result = df * pd.Series(myDict)
result = df * pd.Series(myDict)
回答by BrenBarn
You could do:
你可以这样做：
for col in df.columns:
df[col] *= myDict[col]
