numpy.arctan()在 Python
中
哎哎哎:# t0]https://www . geeksforgeeks . org/num py-arctan-python/
numpy.arctan(x[，out]) = ufunc 'arctan') : 这个数学函数帮助用户计算所有 x(作为数组元素)的反正切。
参数:
array : [array_like]elements are in radians.
out : [array_like]array of same shape as x.
注:
2pi 弧度= 360 度 惯例是返回实部位于[-pi/2，pi/2]的角度 z。
返回:
An array with inverse tangent of x
for all x i.e. array elements.
The values are in the closed interval [-pi/2, pi/2].
代码#1:工作
# Python program explaining
# arctan() function
import numpy as np
in_array = [0, 1, 0.3, -1]
print ("Input array : \n", in_array)
arctan_Values = np.arctan(in_array)
print ("\nInverse Tangent values : \n",
arctan_Values)
输出:
Input array :
[0, 1, 0.3, -1]
Inverse Tangent values :
[ 0\. 0.78539816 0.29145679 -0.78539816]
代码#2:图形表示
# Python program showing
# Graphical representation
# of arctan() function
import numpy as np
import matplotlib.pyplot as plt
in_array = np.linspace(-np.pi, np.pi, 12)
out_array1 = np.tan(in_array)
out_array2 = np.arctan(in_array)
print("in_array : ", in_array)
print("\nout_array with tan : ", out_array1)
print("\nout_arraywith arctan : ", out_array1)
# red for numpy.arccos()
plt.plot(in_array, out_array1,
color = 'blue', marker = "*")
plt.plot(in_array, out_array2,
color = 'red', marker = "o")
plt.title("blue : numpy.tan() \nred : numpy.arctan()")
plt.xlabel("X")
plt.ylabel("Y")
plt.show()
输出:
in_array : [-3.14159265 -2.57039399 -1.99919533 -1.42799666 -0.856798 -0.28559933
0.28559933 0.856798 1.42799666 1.99919533 2.57039399 3.14159265]
out_array with tan : [ 1.22464680e-16 6.42660977e-01 2.18969456e+00 -6.95515277e+00
-1.15406152e+00 -2.93626493e-01 2.93626493e-01 1.15406152e+00
6.95515277e+00 -2.18969456e+00 -6.42660977e-01 -1.22464680e-16]
out_arraywith arctan : [ 1.22464680e-16 6.42660977e-01 2.18969456e+00 -6.95515277e+00
-1.15406152e+00 -2.93626493e-01 2.93626493e-01 1.15406152e+00
6.95515277e+00 -2.18969456e+00 -6.42660977e-01 -1.22464680e-16]
参考文献:
https://docs . scipy . org/doc/numpy-dev/reference/generated/numpy . arcsin . html # numpy . arccos
。
