“轴"的含义是什么? Pandas DataFrame中的属性? [英] What is the meaning of "axis" attribute in a Pandas DataFrame?

问题描述

以下面的示例为例:

>>> df1 = pd.DataFrame({"x":[1, 2, 3, 4, 5], 
                        "y":[3, 4, 5, 6, 7]}, 
                      index=['a', 'b', 'c', 'd', 'e'])

>>> df2 = pd.DataFrame({"y":[1, 3, 5, 7, 9], 
                        "z":[9, 8, 7, 6, 5]}, 
                      index=['b', 'c', 'd', 'e', 'f'])

>>> pd.concat([df1, df2], join='inner')

输出为:

   y
a  3
b  4
c  5
d  6
e  7
b  1
c  3
d  5
e  7
f  9

由于axis=0是列，所以我认为concat()仅考虑在两个数据框中都找到的列.但实际输出会考虑在两个数据框中都找到的行.

Since axis=0 is the columns, I think tha concat() only considers columns that are found in both dataframes. But the acutal output considers rows that are found in both dataframes.

axis参数的确切含义是什么?

What is the exactly meaning of axis parameter?

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