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| NumPy Basic tutorial 2 - Python Programming |
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PROGRAM 1
# convert list to ndarray
import numpy as np
x = [1,2,3,4,5,6]
arr = np.asarray(x)
print (arr)
OUTPUT
[1 2 3 4 5 6]
PROGRAM
2
import numpy as np
x = [1,2,3,4,5,6]
arr = np.asarray(x, dtype = float)
print (arr)
OUTPUT
[1. 2. 3. 4. 5. 6.]
PROGRAM
3
import numpy as np
x = (1,2,3,4,5,6)
arr = np.asarray(x)
print (arr)
OUTPUT
[1 2 3 4 5 6]
PROGRAM
4
import numpy as np
x = (1,2,3,4,5,6)
arr = np.asarray(x, dtype = float)
print (arr)
OUTPUT
[1. 2. 3. 4. 5. 6.]
PROGRAM
5
# create list object using range function
import numpy as np
list = range(10)
print (list)
OUTPUT
range(0, 10)
PROGRAM
6
import numpy as np
arr = np.arange(10)
print (arr)
OUTPUT
[0 1 2 3 4 5 6 7 8 9]
PROGRAM
7
import numpy as np
arr= np.arange(1,24,4)
print (arr)
OUTPUT
[ 1 5 9 13 17 21]
PROGRAM
8
import numpy as np
arr = np.linspace(1,24,4)
print (arr)
OUTPUT
[ 1. 8.66666667
16.33333333 24. ]
PROGRAM
9
import numpy as np
arr = np.arange(10)
s = slice(2,10,2)
print (arr[s])
OUTPUT
[2 4 6 8]
PROGRAM
10
import numpy as np
arr = np.arange(10)
b = arr[2:10:2]
print (arr[s])
OUTPUT
[2 4 6 8]
PROGRAM
11
import numpy as np
arr = np.arange(10)
b = arr[3]
c=arr[6]
print(c)
print (b)
OUTPUT
6
3
PROGRAM
12
import numpy as np
arr = np.arange(10)
b = arr[3]
c=arr[6]
print(arr[2:])
print(arr[:2])
print(arr[:])
print(arr[1:])
print(arr[2:7])
OUTPUT
[2 3 4 5 6 7 8 9]
[0 1]
[0 1 2 3 4 5 6 7 8 9]
[1 2 3 4 5 6 7 8 9]
[2 3 4 5 6]
PROGRAM
13
import numpy as np
arr = np.array([[1,2,3],[4,5,6],[7,8,9]])
print (arr)
print ('after slice operation 1')
print( arr[1:])
print ('after slice operation 2')
print( arr[:1])
print ('after slice operation 3')
print( arr[:])
print ('after slice operation 4')
print( arr[1:3])
print ('after slice operation 5')
print( arr[0:3])
OUTPUT
[[1 2 3]
[4 5 6]
[7 8 9]]
after slice operation 1
[[4 5 6]
[7 8 9]]
after slice operation 2
[[1 2 3]]
after slice operation 3
[[1 2 3]
[4 5 6]
[7 8 9]]
after slice operation 4
[[4 5 6]
[7 8 9]]
after slice operation 5
[[1 2 3]
[4 5 6]
[7 8 9]]
PROGRAM
14
x = np.array([[1, 2], [3, 4], [5, 6]])
y = x[[0,1,2], [0,1,0]]
print(x)
print('after the operation')
print (y)
OUTPUT
[[1 2]
[3 4]
[5 6]]
after the operation
[1 4 5]
PROGRAM
15
import numpy as np
arr = np.array([[ 0, 1, 2],[ 3, 4, 5],[ 6,
7, 8]])
print ('Matrix:')
print(arr)
print('corner elemnets are:')
rows = np.array([[0,0],[2,2]])
cols = np.array([[0,2],[0,2]])
mat = arr[rows,cols]
print (mat)
OUTPUT
Matrix:
[[0 1 2]
[3 4 5]
[6 7 8]]
corner elemnets are:
[[0 2]
[6 8]]
PROGRAM
16
import numpy as np
arr = np.array([[ 0, 1, 2],[ 3, 4, 5],[ 6,
7, 8]])
print ('Matrix:')
print(arr)
print ('The items greater than 5 are:' )
print (arr[arr > 5])
OUTPUT
Matrix:
[[0 1 2]
[3 4 5]
[6 7 8]]
The items greater than 5 are:
[6 7 8]
PROGRAM
17
import numpy as np
arr = np.array([2+9j, 5, 3.5+3j, 6, 7, 6+2j, 8, 0])
print('original array')
print(arr)
print('Complex Numbers')
print (arr[np.iscomplex(arr)])
OUTPUT
original array
[2. +9.j 5. +0.j 3.5+3.j 6. +0.j 7. +0.j 6. +2.j 8. +0.j 0. +0.j]
Complex Numbers
[2. +9.j 3.5+3.j 6. +2.j]
PROGRAM
18
import numpy as np
a = np.array([10,20,30,40])
b = np.array([2,3,4,5])
print('a')
print(a)
print('b')
print(b)
c = a * b
print('c')
print(c)
d=a+b
print('d')
print(d)
e=a-b
print('e')
print(e)
f=a/b
print('f')
print(f)
OUTPUT
a
[10 20 30 40]
b
[2 3 4 5]
c
[ 20 60 120 200]
d
[12 23 34 45]
e
[ 8 17 26 35]
f
[5. 6.66666667 7.5
8. ]
NumPy
Basic tutorial 3 - Python Programming CLICK HERE
NumPy
Basic tutorial 4- Python Programming CLICK HERE