Python NumPy|Joining Numpy Arrays Together | Python for Beginners | Learnerea

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Python NumPy|Joining Numpy Arrays Together | Python for Beginners | Learnerea

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Introduction -
00:00 - Introduction
01:13 - Join using concatenation
00:53 - Understanding the axis and its values
04:03 - Joining using Stack
05:39 - Joining using vstack
06:38 - Joining using dstack
07:28 - Joining using hstack
08:23 - Summarizing or comparing each of the above joining

#PythonForBeginners #NumPyForBeginners #NumPy #Learnerea

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np.stack and np.dstack are both NumPy functions that can be used to stack arrays along a new axis. However, they differ in how they stack the arrays.

np.stack stacks arrays along a new axis that you specify. You can use the axis parameter to specify the position of the new axis. For example, if you have two arrays of shape (2, 3) and you stack them along the first axis, the resulting array will have shape (2, 2, 3). If you stack them along the second axis, the resulting array will have shape (2, 3, 2).

np.dstack stacks arrays along the third axis, which is the depth dimension. If you have two arrays of shape (2, 3) and you stack them using np.dstack, the resulting array will have shape (2, 3, 2).

In summary, np.stack can stack arrays along any axis while np.dstack only stacks along the third axis.

learnerea

One hundred million thanks,
At last found someone simplified the joins and made it easy to digest. 😊👍
Thanks

lshagh

please make a series on more complicated topics by making them simpler like this one! Thanks!

dumbstonks

I am watching NumPy video Series from this channel & it is very clear & precise.
Thank you so much for this tutorial!

SumitGupta-vdnf

Hello, very precise and helpful. Thank you.

bunny

3d or more dimension, I am facing axis related problem..Can you help me?Actually your teaching process is awesome

sohagalam

7:16 : stack and dstack don't produce the same output according to the visual. Which one is correct?

vikrawar

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