numpy.square(arr,out = None,ufunc'square'):此數學函數可幫助用戶計算數組中每個元素的平方值。
參數:
arr : [array_like] Input array or object
whose elements, we need to square.
返回:
An array with square value of each array.
代碼1:工作
# Python program explaining
# square () function
import numpy as np
arr1 = [1, -3, 15, -466]
print ("Square Value of arr1 : \n", np.square(arr1))
arr2 = [23 ,-56]
print ("\nSquare Value of arr2 : ", np.square(arr2))
輸出:
Square Value of arr1 : [ 1 9 225 217156] Square Value of arr2 : [ 529 3136]
代碼2:使用複數
# Python program explaining
# square () function
import numpy as np
a = 4 + 3j
print("Square(4 + 3j) : ", np.square(a))
b = 16 + 13j
print("\nSquare value(16 + 13j) : ", np.square(b))
輸出:
Square(4 + 3j) : (7+24j) Square value(16 + 13j) : (87+416j)
代碼3:numpy.square()的圖形表示
# Python program explaining
# square () function
import numpy as np
import matplotlib.pyplot as plt
a = 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()
輸出:
Graphical Representation : [ 25. 9. 1. 1. 9. 25.]
參考文獻:
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.absolute.html
。
相關用法
注:本文由純淨天空篩選整理自Mohit Gupta_OMG 大神的英文原創作品 numpy.square() in Python。非經特殊聲明,原始代碼版權歸原作者所有,本譯文未經允許或授權,請勿轉載或複製。