如何创建一个间隔中等距数字的 NumPy 一维数组？

有时，我们需要制作不同类型的数组，例如 AP（等间距数字系列）、GP（指数间距数字系列）或 HP（倒数间距数字系列）来解决各种问题，尤其是在解决一些科学或天文问题，以减少计算。就预实现的代码而言， Python是最好的语言之一，并且几乎每次都出现在其中，但代价是处理速度。

NumPy 有一个名为 arange() 的内置方法，它能够创建一个给定整数类型（以字节为单位）的数组，数字之间的间距相等。

Syntax: arange([start,] stop[, step,][, dtype])

Parameters:

start: This is a default parameter. The value of the first number of the element, the default value of this parameter is 0.
stop: This is not a default parameter. This has to be greater than the maximum possible value of the last element. e.g. , If you want the last element to be 8, you should give the stop value as 9 or more, depending upon the difference you want between two consecutive numbers in the array.
step: This is also a default parameter. This number will be the difference between the two consecutive elements in the array. The default value of step is 1.
dtype: This is also a default parameter. This is the data type of the numbers in NumPy, for simplicity, it is a number(in power of 2) preceded by np.int, e.g., np.int8, np.int16, np.int32.

编程需要懂一点英语

该函数将根据用户的需求返回一个数组。让我们看一些例子：

示例 1：创建一个从 0 到给定数字的简单数组

Python3

import numpy as np
 
# Here, the array has only one parameter,
# and that is the open ended limit of
# last number of the array
myArray = np.arange(8)
print(myArray)

Python3

import numpy as np
 
 
# This line has two parameters
# The first one is the closed and beginning limit
# The second one is the open and end limit
mySecondArray = np.arange(1, 6)
print(mySecondArray)

Python3

import numpy as np
 
# This line has two parameters
# The first one is the closed and beginning limit
# The second one is the open and end limit
# The third one is the steps(difference between
# two  elements in the array)
myThirdArray = np.arange(2, 12, 2)
print(myThirdArray)

Python3

import numpy as np
 
# This line has two parameters
# The first one is the closed and beginning limit
# The second one is the open and end limit
# The third one is the steps(difference between
# two  elements in the array)
myForthArray = np.arange(5, 101, 10, np.int32)
print(myForthArray)

输出：

[0 1 2 3 4 5 6 7]

示例 2：创建一个从给定数字开始到另一个数字的简单数组

Python3

import numpy as np
 
 
# This line has two parameters
# The first one is the closed and beginning limit
# The second one is the open and end limit
mySecondArray = np.arange(1, 6)
print(mySecondArray)

输出：

[1 2 3 4 5]

示例 3：创建一个从给定数字到具有给定间隔的另一个数字的数组。

Python3

import numpy as np
 
# This line has two parameters
# The first one is the closed and beginning limit
# The second one is the open and end limit
# The third one is the steps(difference between
# two  elements in the array)
myThirdArray = np.arange(2, 12, 2)
print(myThirdArray)

输出：

[ 2  4  6  8 10]

示例 4：我们使用 dtype 尤其是在我们想要处理图像或其他某种计算的情况下。

Python3

import numpy as np
 
# This line has two parameters
# The first one is the closed and beginning limit
# The second one is the open and end limit
# The third one is the steps(difference between
# two  elements in the array)
myForthArray = np.arange(5, 101, 10, np.int32)
print(myForthArray)

输出：

[ 5 15 25 35 45 55 65 75 85 95]