Python 中的 numpy.tan()
哎哎哎:# t0]https://www . geeksforgeeks . org/num py-tan-python/
numpy.tan(array[，out])= ufunc ' tan ':这个数学函数帮助用户计算所有 x(作为数组元素)的三角正切。 T3】参数:
array : [array_like]elements are in radians.
out : [optional]shape same as array.
2pi Radians = 360 degrees
tan(x) = sin(x) / cos(x)
返回:
An array with trigonometric sine
of x for all x i.e. array elements
代码#1:工作
计算机编程语言
# Python program explaining
# tan() function
import numpy as np
import math
in_array = [0, math.pi / 4, 3*np.pi / 2, math.pi/6]
print ("Input array : \n", in_array)
tan_Values = np.tan(in_array)
print ("\nTan values : \n", tan_Values)
输出:
Input array :
[0, 0.7853981633974483, 4.71238898038469, 0.5235987755982988]
Tan values :
[ 0.00000000e+00 1.00000000e+00 5.44374645e+15 5.77350269e-01]
代码#2:图形表示
计算机编程语言
# Python program showing
# Graphical representation of
# tan() function
import numpy as np
import matplotlib.pyplot as plt
in_array = np.linspace(0, np.pi, 12)
out_array = np.tan(in_array)
print("in_array : ", in_array)
print("\nout_array : ", out_array)
# red for numpy.tan()
plt.plot(in_array, out_array, color = 'red', marker = "o")
plt.title("numpy.tan()")
plt.xlabel("X")
plt.ylabel("Y")
plt.show()
输出:
in_array : [ 0\. 0.28559933 0.57119866 0.856798 1.14239733 1.42799666
1.71359599 1.99919533 2.28479466 2.57039399 2.85599332 3.14159265]
out_array : [ 0.00000000e+00 2.93626493e-01 6.42660977e-01 1.15406152e+00
2.18969456e+00 6.95515277e+00 -6.95515277e+00 -2.18969456e+00
-1.15406152e+00 -6.42660977e-01 -2.93626493e-01 -1.22464680e-16]
参考文献: https://docs . scipy . org/doc/numpy-dev/reference/generated/numpy . tan . html # numpy . tan 。
