无法从熊猫DataFrame的列返回numpy数组

Question

I have a pandas DataFrame like so:

      Col_A     Col_B
   0.   1         5
   1.   2         6
   2.   3         7
   3.   4         8

I'm trying to do this to pass a and b as variables inside a function I'm defining. For this, a should be a numpy array of the values in column A but I'm not being able to do that.

So far I've tried:

a = np.empty(1); a.fill(df[0])

But it returns:

ValueError: Input object to FillWithScalar is not a scalar

Answer 1

您可以使用以下方法将该列变成一个numpy数组：

a = np.array(df['Col_A'])