一、Along an Axis
Axes are defined for arrays with more than one dimension.
A 2-dimensional array has two corresponding axes:
The first running vertically downwards across rows (axis 0)
The second running horizontally across columns (axis 1)
解释
- 轴这个概念是为不止一个维度的数组准备的;
- axis = 0,第一个维度,垂直向下贯穿所有行数据,数据聚合时,注意贯穿,合并数组时,注意垂直向下;
- axis = 1,第二个维度,水平贯穿所有列数据,注意的点如上;
For example
a
= array([[1, 2, 3],
[4, 5, 6]])
b
= array([[2, 3, 4],
[5, 6, 7]])
np.sum((a),axis=0) # 向下贯穿所有行数据,即按照分别计算所有列的和
Out:
array([5, 7, 9])
np.sum((b),axis=1) # 水平贯穿所有列数据,即按照分别计算所有行的和
Out:
array([ 9, 18])
二、Merge’s Axis
a
= array([[1, 2, 3],
[4, 5, 6]])
b
= array([[2, 3, 4],
[5, 6, 7]])
np.concatenate((a,b),axis = 0) #vertically downwards,垂直向下合并
Out:
array([[1, 2, 3],
[4, 5, 6],
[2, 3, 4],
[5, 6, 7]])
np.concatenate((a,b),axis = 1) #horizontally,水平合并
Out[37]:
array([[1, 2, 3, 2, 3, 4],
[4, 5, 6, 5, 6, 7]])