Indexing and Slicing Array
#Program
import numpy as np
ar=np.array([1,2,3,4])
print(ar)
Output:
[1 2 3 4]
Index Position
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0 |
1 |
2 |
3 |
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1 |
2 |
3 |
4 |
#Program : Indexing 2D Array
Ar[Row,Column]
Import
numpy as np
ar=np.array([1,2,3]
[4,5,6],
[7,8,9])
print(ar[2,1])
print(ar[2]) #It
will pick a row----[7,8,9]
print(ar[:,1]) #ar[row,column]--->
output : [2,5,8]
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1 |
2 |
3 |
|
4 |
5 |
6 |
|
7 |
8 |
9 |
|
[0,0] |
[0,1] |
[0,2] |
|
1 |
2 |
3 |
|
[1,0] |
[1,1] |
[1,2] |
|
4 |
5 |
6 |
|
[2,0] |
[2,1] |
[2,2] |
|
7 |
8 |
9 |
Row Slicing Column Slicing
Parameter
Parameter
#Program
import numpy
as np
ar=np.array([[10,11,12,13,14],
[15,16,17,18,19],
[20,21,22,23,24],
[25,26,27,28,29]])
print(“Print
Original Value :”)
print(ar)
print("Print
Second Row & Third Column Values :")
print(ar[1:,2:4])
print("Print
I & III Rows and III & IV Columns Values :")
print(ar[1:3,2:4])
print("Print
I & III Rows and I and III Column values :")
print(ar[0::2,0::2])
print("Print
II & IV Rows and II & V Column Values: ")
print(ar[1::2,2::2])
print("I
& III Rows and III and IV Column values: ")
print(ar[1::2,2:4:1])
Output:
Print Original Values :
[[10 11 12 13 14]
[15 16 17 18 19]
[20 21 22 23 24]
[25 26 27 28 29]]
Print Second Row & Third Column
Values :
[[17 18]
[22 23]
[27 28]]
Print I & III Rows and III &
IV Columns Values :
[[17 18]
[22 23]]
Print I & III Rows and I and III
Column values :
[[10 12 14]
[20 22 24]]
Print II & IV Rows and II &
V Column Values:
[[17 19]
[27 29]]
I & IV Rows and III and IV
Column values:
[[17 18]
[27 28]]
Print
Original Value :
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14 |
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15 |
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22 |
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25 |
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28 |
29 |
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27 |
28 |
29 |
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17 |
18 |
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22 |
23 |
24 |
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26 |
27 |
28 |
29 |
print(ar[0::2,0::2])
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14 |
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18 |
19 |
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28 |
29 |
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19 |
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27 |
28 |
29 |
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29 |
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