Pandas - 将混合正/负数列变为正数
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Pandas - Turning column of mixed positive / negative numbers to positive
提问by Jasper
In my dataframe I have a column containing numbers, some positive, some negative. Example
在我的数据框中，我有一列包含数字，一些正数，一些负数。例子
Amount
0 -500
1 659
3 -10
4 344
I want to turn all numbers Df['Amount'] into positive numbers. I thought about multiplying all numbers with *-1. But though this turns negative numbers positive, and also does the reverse.
我想把所有数字 Df['Amount'] 变成正数。我想过将所有数字乘以 *-1。但是，尽管这会将负数变为正数，但也会反过来。
Is there a better way to do this?
有一个更好的方法吗？
回答by Tom Lynch
You can assign the result back to the original column:
您可以将结果分配回原始列：
df['Amount'] = df['Amount'].abs()
Or you can create a new column, instead:
或者您可以创建一个新列，而不是：
df['AbsAmount'] = df['Amount'].abs()
回答by koPytok
You can take absolute value
你可以取绝对值
d['Amount'].apply(abs)
回答by Zae Zoxol
abs() is the standard way to get absolute values.
abs() 是获取绝对值的标准方法。
