Pandas reader for the BUFR format using ecCodes.
Project description
pdbufr
pdbufr is a Python package implementing a Pandas reader for the BUFR format using ecCodes.
Documentation
The documentation can be found at https://pdbufr.readthedocs.io/.
Install
Install via pip with:
$ pip install pdbufr
More details, such as how to install any necessary binaries, can be found at https://pdbufr.readthedocs.io/en/latest/install.html.
License
Copyright 2019- European Centre for Medium-Range Weather Forecasts (ECMWF).
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0.
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pdbufr-0.14.2.tar.gz.
File metadata
- Download URL: pdbufr-0.14.2.tar.gz
- Upload date:
- Size: 8.8 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5fd40f4dd07ef7b56f5d0c065debddb4afd45ddaa453addc731249ced8d31d13
|
|
| MD5 |
343db84f2e4c6b9610587a03ed7d1412
|
|
| BLAKE2b-256 |
ace9e633c3ac1856ba04d1329eda9ac0b4cf2e4f4df964df869226af5b9d1f6f
|
File details
Details for the file pdbufr-0.14.2-py3-none-any.whl.
File metadata
- Download URL: pdbufr-0.14.2-py3-none-any.whl
- Upload date:
- Size: 52.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8d9eb74e65fe1b4b89ffe5e7ad8ee0e854ac2efbed5b64ac17cff287ea86a838
|
|
| MD5 |
2512a7b0da8faa8877eb88e83661d47b
|
|
| BLAKE2b-256 |
0d20f2b98b18200c304f04f7839732298a786d121dba6b7cd79aa406c8c9000d
|