python numpy split array

numpy split array tutorial

numpy is a powerful library in python that provides support for large, multi-dimensional arrays and matrices, along with a large collection of mathematical functions to operate on these arrays. one of the useful features of numpy is the ability to split arrays into multiple sub-arrays. this can be particularly useful for data manipulation and analysis.

functions for splitting arrays

numpy provides several functions for splitting arrays:

syntax

- **`ary`**: input array to be split.
- **`indices_or_sections`**: this can either be an integer (number of equal sections) or an array of indices at which to split the array.
- **`axis`**: the axis along which to split the array. default is 0 (row-wise).

example

output

example

output

example

output

this function is used specifically for 3d arrays. here's a brief example:

output

conclusion

feel free to experiment with these functions using different dimensions and shapes of arrays to gain a deeper understanding!

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