Shape and Reshape Numpy Arrays - Numpy For Machine Learning 5

In this video we'll learn how to determine the shape of a Numpy Array and reshape a Numpy Array.
You'll often need to determine the shape of a Numpy Array and we can do this using the .shape() function.
You can also change the shape of a Numpy Array using the .reshape() function. We'll look at how to use both the shape and reshape function in this video.
#numpy #codemy #JohnElder
Timecodes
0:00​​ - Introduction
1:13 - Create a 1-D Numpy Array And Get Shape
2:04 - Create a 2-D Numpy Array and Get Shape
3:27 - Reshape 2-D Numpy Array
4:34 - Reshape 3-D Numpy Array
5:44 - Flatten a Numpy Array
6:35 - Conclusion

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[@FuryMuscles]

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[@Codemycom]

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[@Codemycom]

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[@malikarjunhugar026]

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[@Codemycom]

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[@jainam842]

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[@Therrhd]

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[@Codemycom]

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[@user-mh3mw7fk9w]

great explanation

[@Codemycom]

Thanks! Glad you enjoyed it

[@kamranzamanni6826]

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[@Codemycom]

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[@Codemycom]

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[@Codemycom]

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[@marymozaffari2963]

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Do you have git?

[@Codemycom]

Yes, I use the git bash terminal from git-scm.com

[@KumR]

why does it show (12,) for first case.. should'nt it be (1,12) ?

[@saurabhshrigadi]

1d array will give only 1 value cause it default that one. If it was more than 1 then it would be 2D array