Python中的 numpy.tan()

numpy.tan(array[, out]) = ufunc 'tan') ：此数学函数可帮助用户计算所有 x（作为数组元素）的三角正切。
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

Python

# 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

Python

# 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 ：
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.tan.html#numpy.tan
.