使用Numpy计算掩码数组沿轴1的最小值
要计算沿给定轴的掩码数组元素的最小值,请使用Python Numpy中的**MaskedArray.min()**方法:
- 轴使用“axis”参数设置。
- 轴是操作的轴。
min()函数返回一个包含结果的新数组。如果指定了out,则返回out。out参数是放置结果的备用输出数组。必须与预期输出具有相同的形状和缓冲区长度。fill_value是用于填充掩码值的数值。如果为None,则使用minimum_fill_value()的输出。如果keepdims设置为True,则减少的轴将作为大小为一的维度保留在结果中。使用此选项,结果将正确地对数组进行广播。
步骤
首先,导入所需的库:
import numpy as np import numpy.ma as ma
使用numpy.array()方法创建一个包含整数元素的数组:
arr = np.array([[65, 68, 81], [93, 33, 76], [73, 88, 51], [62, 45, 67]]) print("Array...
", arr)
创建一个掩码数组并将其中一些标记为无效:
maskArr = ma.masked_array(arr, mask =[[1, 1, 0], [ 0, 0, 0], [0, 1, 0], [0, 1, 0]]) print("
Our Masked Array...
", maskArr)
获取掩码数组的类型:
print("
Our Masked Array type...
", maskArr.dtype)
获取掩码数组的维度:
print("
Our Masked Array Dimensions...
",maskArr.ndim)
获取掩码数组的形状:
print("
Our Masked Array Shape...
",maskArr.shape)
获取掩码数组的元素个数:
print("
Number of elements in the Masked Array...
",maskArr.size)
要计算沿给定轴的掩码数组元素的最小值,请使用MaskedArray.min()方法。轴使用“axis”参数设置。轴是操作的轴:
resArr = maskArr.min(axis = 1) print("
Resultant Array..
.", resArr)
示例
import numpy as np import numpy.ma as ma # Create an array with int elements using the numpy.array() method arr = np.array([[65, 68, 81], [93, 33, 76], [73, 88, 51], [62, 45, 67]]) print("Array...
", arr) # Create a masked array and mask some of them as invalid maskArr = ma.masked_array(arr, mask =[[1, 1, 0], [ 0, 0, 0], [0, 1, 0], [0, 1, 0]]) print("
Our Masked Array...
", maskArr) # Get the type of the masked array print("
Our Masked Array type...
", maskArr.dtype) # Get the dimensions of the Masked Array print("
Our Masked Array Dimensions...
",maskArr.ndim) # Get the shape of the Masked Array print("
Our Masked Array Shape...
",maskArr.shape) # Get the number of elements of the Masked Array print("
Number of elements in the Masked Array...
",maskArr.size) # To compute the minimum of the masked array elements along a given axis, use the MaskedArray.min() method in Python Numpy # The axis is set using the "axis" parameter # The axis is the axis along which to operate resArr = maskArr.min(axis = 1) print("
Resultant Array..
.", resArr)
输出
Array... [[65 68 81] [93 33 76] [73 88 51] [62 45 67]] Our Masked Array... [[-- -- 81] [93 33 76] [73 -- 51] [62 -- 67]] Our Masked Array type... int64 Our Masked Array Dimensions... 2 Our Masked Array Shape... (4, 3) Number of elements in the Masked Array... 12 Resultant Array.. . [81 33 51 62]
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