Perform the following Elementary Mathematical Functions using Numpy Array. array1 = np.array([[10, 20, 30], [40, 50, 60]]). Data science using Python in Anaconda - Jupyter
Question
1. sin(array1)
2. cos(array1)
3. tan(array1)
4. sqrt(array1)
5. exp(array1)
6. log10(array1)
Program: -
import numpy as np
array1 = np.array([[10, 20, 30], [40, 50, 60]])
print("Orignal Array 1:- \n",array1,"\n")
print("Sin :- \n",np.sin(array1))
print("Cos :- \n",np.cos(array1))
print("Tan :- \n",np.tan(array1))
print("Sqrt :- \n",np.sqrt(array1))
print("Exp :- \n",np.exp(array1))
print("log :- \n",np.log10(array1))
Output: -
Orignal Array 1:-
[[10 20 30]
[40 50 60]]
Sin :-
[[-0.54402111 0.91294525 -0.98803162]
[ 0.74511316 -0.26237485 -0.30481062]]
Cos :-
[[-0.83907153 0.40808206 0.15425145]
[-0.66693806 0.96496603 -0.95241298]]
Tan :-
[[ 0.64836083 2.23716094 -6.4053312 ]
[-1.11721493 -0.27190061 0.32004039]]
Sqrt :-
[[3.16227766 4.47213595 5.47722558]
[6.32455532 7.07106781 7.74596669]]
Exp :-
[[2.20264658e+04 4.85165195e+08 1.06864746e+13]
[2.35385267e+17 5.18470553e+21 1.14200739e+26]]
log :-
[[1. 1.30103 1.47712125]
[1.60205999 1.69897 1.77815125]]