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Indexing and Slicing NumPy Arrays | Module NumPy Tutorial - Part 08

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Indexing and Slicing numpy arrays (1D and 2D and 3D examples) in numpy module
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NumPy Module Tutorial Playlist for Machine Learning:
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⏱TIMESTAMPS⏱:
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0:00 - NumPy 1D arrays Slicing and Indexing
4:18 - NumPy 2D arrays Slicing and Indexing
7:16 - NumPy 3D arrays Slicing and Indexing
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Source Code [1]:
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import numpy as np
# 0 1 2 3
# -4 -3 -2 -1
print(x[1:])
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Source Code [2]:
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import numpy as np
[100,50,40], # row 0
[114,70,10], # row 1
[900,99,14] # row 2
# 0 1 2
])
print(x[1:,2])
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Source Code [3]:
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import numpy as np
[[1,2],
[3,4]],
[[5,6],
[7,8]]
])
print(x[1,0,1])
==================================
NumPy Module Tutorial Playlist for Machine Learning:
==================================
==================================
⏱TIMESTAMPS⏱:
==================================
0:00 - NumPy 1D arrays Slicing and Indexing
4:18 - NumPy 2D arrays Slicing and Indexing
7:16 - NumPy 3D arrays Slicing and Indexing
==================================
Source Code [1]:
==================================
import numpy as np
# 0 1 2 3
# -4 -3 -2 -1
print(x[1:])
==================================
Source Code [2]:
==================================
import numpy as np
[100,50,40], # row 0
[114,70,10], # row 1
[900,99,14] # row 2
# 0 1 2
])
print(x[1:,2])
==================================
Source Code [3]:
==================================
import numpy as np
[[1,2],
[3,4]],
[[5,6],
[7,8]]
])
print(x[1,0,1])
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