Metadata-Version: 2.1
Name: xarray-custom
Version: 0.4.0
Summary: Data classes for custom xarray constructors
Home-page: https://github.com/astropenguin/xarray-custom
License: MIT
Author: Akio Taniguchi
Author-email: taniguchi@a.phys.nagoya-u.ac.jp
Requires-Python: >=3.6,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: numpy (>=1.18,<2.0)
Requires-Dist: pyyaml (>=5.3,<6.0)
Requires-Dist: toml (>=0.10,<0.11)
Requires-Dist: xarray (>=0.15,<0.16)
Project-URL: Documentation, https://astropenguin.github.io/xarray-custom
Description-Content-Type: text/markdown

# xarray-custom

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:zap: Data classes for custom xarray constructors

## TL;DR

xarray-custom is a third-party Python package which helps to create custom DataArray classes in the same manner as [the Python's native dataclass](https://docs.python.org/3/library/dataclasses.html).
Here is an introduction code of what the package provides:

```python
from xarray_custom import ctype, dataarrayclass

@dataarrayclass(accessor='img')
class Image:
    """DataArray class to represent images."""

    dims = 'x', 'y'
    dtype = float
    x: ctype('x', int) = 0
    y: ctype('y', int) = 0

    def normalize(self):
        return self / self.max()

# create a custom DataArray
image = Image([[0, 1], [2, 3]], x=[0, 1], y=[0, 1])

# use a custom method via an accessor
normalized = image.img.normalize()

# create a custom DataArray filled with ones
ones = Image.ones((2, 2), x=[0, 1], y=[0, 1])
```

The key points are:

- Custom DataArray instances with fixed dimensions, datatype, and coordinates can easily be created.
- NumPy-like special functions like ``ones()`` are provided as class methods.
- Custom DataArray methods can be available via a custom accessor.

