返回NumPy物件dtype可以表示的最小值


要返回物件dtype可以表示的最小值,請使用Python NumPy中的**ma.maximum_fill_value()**方法。此函式用於計算適合於獲取具有給定dtype的陣列的最小值的填充值。它返回最小可表示值。(原文錯誤,應為最小值)

掩碼陣列是標準numpy.ndarray和掩碼的組合。掩碼要麼是nomask(表示關聯陣列的無值無效),要麼是布林陣列,用於確定關聯陣列的每個元素的值是否有效。

步驟

首先,匯入所需的庫:

import numpy as np
import numpy.ma as ma

使用numpy.array()方法建立一個包含整數元素的陣列:

arr = np.array([[65, 68, 81], [93, 33, 76], [73, 88, 51], [62, 45, 67]])
print("Array...
", arr)

建立一個掩碼陣列並將其中一些標記為無效:

maskArr = ma.masked_array(arr, mask =[[1, 1, 0], [ 0, 0, 0], [0, 1, 0], [0, 1, 0]])
print("
Our Masked Array...
", maskArr)

獲取掩碼陣列的型別:

print("
Our Masked Array type...
", maskArr.dtype)

獲取掩碼陣列的維度:

print("
Our Masked Array Dimensions...
",maskArr.ndim)

獲取掩碼陣列的形狀:

print("
Our Masked Array Shape...
",maskArr.shape)

獲取掩碼陣列的元素數量:

print("
Number of elements in the Masked Array...
",maskArr.size)

要返回物件dtype可以表示的最小值,請使用ma.maximum_fill_value()方法。此函式用於計算適合於獲取具有給定dtype的陣列的最小值的填充值。它返回最大可表示值。(原文錯誤,應為最小值)

print("
Result..
",np.ma.maximum_fill_value(maskArr))

示例

# Python ma.MaskedArray - Return the minimum value that can be represented by the dtype of an object

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 return the minimum value that can be represented by the dtype of an object, use the ma.maximum_fill_value() method in Python Numpy # This function is useful for calculating a fill value suitable for taking the maximum of an array with a given dtype # It returns the minimum representable value. print("
Result..
",np.ma.maximum_fill_value(maskArr))

輸出

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

Result..
-9223372036854775808

更新於:2022年2月3日

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