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Classify module: ignore nans (#534)
* quantile: ignore nans * natural breaks: ignore nans * ignore inf * update examples * updated functionality matrix * README: added true_color
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README.md

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@@ -81,10 +81,10 @@ In the GIS world, rasters are used for representing continuous phenomena (e.g. e
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| Name | NumPy xr.DataArray | Dask xr.DataArray | CuPy GPU xr.DataArray | Dask GPU xr.DataArray |
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|:----------:|:----------------------:|:--------------------:|:-------------------:|:------:|
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| [Equal Interval](xrspatial/classify.py) |✅️ ||||
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| [Natural Breaks](xrspatial/classify.py) |✅️ ||||
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| [Equal Interval](xrspatial/classify.py) |✅️ ||| |
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| [Natural Breaks](xrspatial/classify.py) |✅️ | || |
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| [Reclassify](xrspatial/classify.py) |✅️ ||||
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| [Quantile](xrspatial/classify.py) |✅️ ||||
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| [Quantile](xrspatial/classify.py) |✅️ ||| |
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@@ -113,6 +113,7 @@ In the GIS world, rasters are used for representing continuous phenomena (e.g. e
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| [Normalized Difference Vegetation Index (NDVI)](xrspatial/multispectral.py) | ✅️ |✅️ | ✅️ |✅️ |
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| [Soil Adjusted Vegetation Index (SAVI)](xrspatial/multispectral.py) | ✅️ |✅️ | ✅️ |✅️ |
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| [Structure Insensitive Pigment Index (SIPI)](xrspatial/multispectral.py) | ✅️ |✅️ | ✅️ |✅️ |
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| [True Color](xrspatial/multispectral.py) | ✅️ || ✅️ ||
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