Is there a better way of making numpy.argmin() ignore NaN values

冷暖自知 提交于 2019-11-30 11:38:12

Sure! Use nanargmin:

import numpy as np
a = np.array([ np.nan,   2.5,   3.,  np.nan,   4.,   5.])
print(np.nanargmin(a))
# 1

There is also nansum, nanmax, nanargmax, and nanmin,

In scipy.stats, there is nanmean and nanmedian.

For more ways to ignore nans, check out masked arrays.

易学教程内所有资源均来自网络或用户发布的内容,如有违反法律规定的内容欢迎反馈
该文章没有解决你所遇到的问题?点击提问,说说你的问题,让更多的人一起探讨吧!