Python numpy tutorial load

Опубликовано: 03 Июль 2024
на канале: CodeWrite

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sure! here is an informative tutorial on how to use the `numpy.load()` function in python.

1. introduction to numpy.load()
the `numpy.load()` function is used to load arrays or pickled objects from `.npy`, `.npz`, or pickled files. it is part of the numpy library which is widely used for scientific computing in python.

2. syntax

`file`: file or file-like object to load data from.
`mmap_mode`: memory-map option. if not none, memory-map the file.
`allow_pickle`: allow loading pickled objects.
`fix_imports`: fix object pickles involving python 2 strings or bytes.
`encoding`: encoding used to decode strings. only used in python 3.

3. example

in this example:
we create a numpy array `arr`.
we save the array to a file named `my_array.npy` using `np.save()`.
we then load the array from the file using `np.load()` and assign it to `loaded_arr`.
finally, we print the loaded array.

4. additional notes
the `numpy.load()` function is useful for loading previously saved arrays or objects.
you can also use `npz` files to save multiple arrays and load them using `np.load()`.

i hope this tutorial helps you understand how to use `numpy.load()` in python effectively. let me know if you have any questions or need further clarification!

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