numpy.min(axis)用法

選擇python，就是選擇使用數學工具解決問題。

numpy中的矩陣運算功能可謂強大，但手冊不多。規律要自己總結。

numpy.ma.min

numpy.ma.min(obj, axis=None, out=None, fill_value=None, keepdims=)[source]

Return the minimum along a given axis.

Parameters:

axis : {None, int}, optional

Axis along which to operate. By default, axis is None and the flattened input is used.

out : array_like, optional

Alternative output array in which to place the result. Must be of the same shape and buffer length as the expected output.

fill_value : {var}, optional

Value used to fill in the masked values. If None, use the output of minimum_fill_value.

Returns:

amin : array_like

New array holding the result. If out was specified, out is returned.

See also

minimum_fill_value

Returns the minimum filling value for a given datatype.

重點看看 axis，這裡沒有告訴你none、0、1表示啥。需要查找：

• none：整個矩陣
• 0：每列
• 1：每行