numpy.nanmin()function用于在返回数组的最小值或沿数组的任何特定提到的轴返回最小值时，忽略任何Nan值。
用法：numpy.nanmin(arr, axis=None, out=None)
参数:
arr :Input array.
axis:Axis along which we want the min value. Otherwise, it will consider arr to be flattened(works on all the axis). axis = 0 means along the column
and axis = 1 means working along the row.
out :Different array in which we want to place the result. The array must have same dimensions as expected output.
返回：最小数组值(如果轴为空则为标量值)或沿指定轴具有最小值的数组。
代码1：工作
# Python Program illustrating
# numpy.nanmin() method
import numpy as np
# 1D array
arr = [1, 2, 7, 0, np.nan]
print("arr:", arr)
print("Min of arr:", np.amin(arr))
# nanmin ignores NaN values.
print("nanMin of arr:", np.nanmin(arr))输出：
arr: [1, 2, 7, 0, nan] Min of arr: nan nanMin of arr: 0.0
代码2：
# Python Program illustrating
# numpy.nanmin() method
import numpy as np
# 2D array
arr = [[np.nan, 17, 12, 33, 44],
[15, 6, 27, 8, 19]]
print("\narr:\n", arr)
# Minimum of the flattened array
print("\nMin of arr, axis = None:", np.nanmin(arr))
# Minimum along the first axis
# axis 0 means vertical
print("Min of arr, axis = 0:", np.nanmin(arr, axis = 0))
# Minimum along the second axis
# axis 1 means horizontal
print("Min of arr, axis = 1:", np.nanmin(arr, axis = 1)) 输出：
arr: [[14, 17, 12, 33, 44], [15, 6, 27, 8, 19]] Min of arr, axis = None: 6 Min of arr, axis = 0: [14 6 12 8 19] Min of arr, axis = 1: [12 6]
代码3：
# Python Program illustrating
# numpy.nanmin() method
import numpy as np
arr1 = np.arange(5)
print("Initial arr1:", arr1)
# using out parameter
np.nanmin(arr, axis = 0, out = arr1)
print("Changed arr1(having results):", arr1)输出：
Initial arr1: [0 1 2 3 4] Changed arr1(having results): [14 6 12 8 19]
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注：本文由纯净天空筛选整理自Mohit Gupta_OMG 大神的英文原创作品 numpy.nanmin() in Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。