It adds a class named Arrey to your Python code. This class acts like a 2D data map:
You can write data to—or retrieve existing data from—any desired x,y location using just a single function! It is perfect for those who find NumPy too complicated.
HOW TO USE?
First, you need to import the arrey class to your code:
from arrey.arrey import arrey
And now, we need to use the arrey.set_value(x, y, value) function to load data.
However, we need an array to access the functions, so let's create one with a height of 5 (y=5):
The height (y-value) of an arrey is fixed, but the x-value can be changed later.
example_arrey = arrey(5)
example_arrey.set_value(2, 2, 5)
And now, let's retrieve the number 5 that we wrote to this 2x2 position using
arrey.get_value(x,y).
value = example_arrey.get_value(2, 2)
And now, we can verify that it works by printing this value using the print() command!
print(value)
Metadata
Release files for arrey 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| arrey-0.1.0.tar.gz | 1.4 kB | Without provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| arrey-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.3 kB
Release files / arrey-0.1.0.tar.gz
| Download URL | arrey-0.1.0.tar.gz |
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| Size | 1.4 kB |
| Tags | Source |
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Release files / arrey-0.1.0-py3-none-any.whl
| Download URL | arrey-0.1.0-py3-none-any.whl |
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| Size | 1.9 kB |
| Tags | Python 3 |
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