numpy.maximum

这篇博客介绍了numpy库中的maximum函数,该函数用于计算两个数组对应元素的最大值。通过此函数,用户可以在NumPy数组操作中有效地找出两组数值中的较大者。

https://docs.scipy.org/doc/numpy/reference/generated/numpy.maximum.html

numpy.maximum

numpy. maximum ( x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True [, signature, extobj ] ) = <ufunc 'maximum'>

Element-wise maximum of array elements.

Compare two arrays and returns a new array containing the element-wisemaxima. If one of the elements being compared is a NaN, then thatelement is returned. If both elements are NaNs then the first isreturned. The latter distinction is important for complex NaNs, whichare defined as at least one of the real or imaginary parts being a NaN.The net effect is that NaNs are propagated.

Parameters:

x1, x2 : array_like

The arrays holding the elements to be compared. They must havethe same shape, or shapes that can be broadcast to a single shape.

out : ndarray, None, or tuple of ndarray and None, optional

A location into which the result is stored. If provided, it must havea shape that the inputs broadcast to. If not provided or None,a freshly-allocated array is returned. A tuple (possible only as akeyword argument) must have length equal to the number of outputs.

where : array_like, optional

Values of True indicate to calculate the ufunc at that position, valuesof False indicate to leave the value in the output alone.

**kwargs

For other keyword-only arguments, see theufunc docs.

Returns:

y : ndarray or scalar

The maximum of x1 and x2, element-wise. Returns scalar ifboth x1 and x2 are scalars.

第三个参数是out,不用写=了
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值