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ENH: Update Readme #226

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merged 9 commits into from
Oct 31, 2024
Merged

ENH: Update Readme #226

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5831471
ENH: Update Readme
syedhamidali Oct 29, 2024
a37b18b
ENH: Cover missing Codecov
syedhamidali Oct 29, 2024
b13d486
ENH: Cover missing Codecov trial2
syedhamidali Oct 29, 2024
ebc57d9
ENH: Cover missing Codecov trial3
syedhamidali Oct 29, 2024
5cffb4e
ADD: Tests to missing funcs in iris.py
syedhamidali Oct 30, 2024
8da82fd
FIX: Exceptions
syedhamidali Oct 30, 2024
fe74e4c
FIX: Drop tests fixes
syedhamidali Oct 30, 2024
0119a07
FIX: Drop tests test_xradar
syedhamidali Oct 30, 2024
bdd0209
ADD: Update history
syedhamidali Oct 30, 2024
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34 changes: 26 additions & 8 deletions README.md
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Expand Up @@ -29,12 +29,30 @@ Xradar is considered stable for the implemented readers and writers which have b

## Features

* Import/Export CfRadial1 data
* Import/Export CfRadial2 data
* Import/Export ODIM_H5 data
* Import GAMIC HDF5
* Import Rainbow5
* Import Iris/Sigmet
* Import Furuno SCN/SCNX
* Georeferencing (AEQD)
### Import/Export Capabilities
* CfRadial1 and CfRadial2
* ODIM_H5 format

### Import-Only Capabilities
* DataMet
* Furuno
* Gamic
* HPL
* Iris
* MRR
* NexradLevel2
* Rainbow

### Data Transformation and Alignment
* Georeferencing (AEQD projection)
* Angle Reindexing
* Format Transformation support to CfRadial1 and CfRadial2

> ***Note**: All formats load into CfRadial2, so converting to CfRadial1 is seamless.*

## Contributors

Thanks to our many contributors!

[![Contributors](https://contrib.rocks/image?repo=openradar/xradar)](https://github.com/openradar/xradar/graphs/contributors)

2 changes: 1 addition & 1 deletion docs/history.md
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Expand Up @@ -3,7 +3,7 @@
## 0.8.0 (2024-10-28)

This is the first version which uses datatree directly from xarray. Thus, xarray is pinned to version >= 2024.10.0.

* ENH: Updated Readme ({pull}`226`) by [@syedhamidali](https://github.com/syedhamidali).
* ADD: Added new module `transform` for transforming CF1 data to CF2 and vice versa ({pull}`224`) by [@syedhamidali](https://github.com/syedhamidali).
* Use DataTree from xarray and add xarray nightly run ({pull}`213`, {pull}`214`, {pull}`215`, {pull}`218`) by [@kmuehlbauer](https://github.com/kmuehlbauer).
* ADD: Added new accessor `map_over_sweeps` for volume operations on DataTrees and a matching decorator ({pull}`203`) by [@syedhamidali](https://github.com/syedhamidali).
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