Python中的numpy.square()用法详细介绍 _Python

numpy.square(arr, out = None, ufunc'square')：该数学函数可帮助用户计算数组中每个元素的平方值。
参数：

arr: [array_like] Input array or objectwhose elements, we need to square.

An array with square value of each array.

代码1：工作

# Python program explaining # square () functionimport numpy as nparr1 = [ 1 , - 3 , 15 , - 466 ] print ( "Square Value of arr1 : \n" , np.square(arr1))arr2 = [ 23 , - 56 ] print ( "\nSquare Value of arr2 : " , np.square(arr2))

输出：

Square Value of arr1 : [19225 217156]Square Value of arr2 :[ 529 3136]

代码2：使用复数

# Python program explaining # square () functionimport numpy as npa = 4 + 3j print ( "Square(4 + 3j) : " , np.square(a))b = 16 + 13j print ( "\nSquare value(16 + 13j) : " , np.square(b))

输出：

Square(4 + 3j) :(7+24j)Square value(16 + 13j) :(87+416j)

代码3：numpy.square()的图形表示

# Python program explaining # square () functionimport numpy as np import matplotlib.pyplot as plta = np.linspace(start = - 5 , stop = 5 , num = 6 , endpoint = True )print ( "Graphical Representation : \n" , np.square(a))plt.title( "blue : with square\nred : without square" ) plt.plot(a, np.square(a))plt.plot(a, a, color = 'red' ) plt.show()

输出：

Graphical Representation : [ 25.9.1.1.9.25.]

文章图片
参考文献：
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.absolute.html
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