xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures.
Our goal is to provide a pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays, rather than the tabular data for which pandas excels. Our approach adopts the Common Data Model for self- describing scientific data in widespread use in the Earth sciences: xarray.Dataset is an in-memory representation of a netCDF file.
Important links
HTML documentation: http://xarray.pydata.org
Issue tracker: http://github.com/pydata/xarray/issues
Source code: http://github.com/pydata/xarray
SciPy2015 talk: https://www.youtube.com/watch?v=X0pAhJgySxk
Metadata
Release files for xarray 0.10.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| xarray-0.10.4.tar.gz | 1.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| xarray-0.10.4-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 1.8 MB
Release files / xarray-0.10.4.tar.gz
| Download URL | xarray-0.10.4.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
64c2d07b75b8ea1320cba521818a2f09107f5f46514d50ff5ef1c4d5da90aaf1
|
|
BLAKE2b-256 checksum How to use checksums |
de8cb5a24031959ce50fbd77716697ae0f139bd2c742d24adf6b4880752c9806
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / xarray-0.10.4-py2.py3-none-any.whl
| Download URL | xarray-0.10.4-py2.py3-none-any.whl |
|---|---|
| Size | 431.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
70d1af6509deb427783312bfbb0bc64a40ab182727afd4f2b5bd06b52efb585b
|
|
BLAKE2b-256 checksum How to use checksums |
8b36084834fb7b5f67afa4788c302ec876f8fffceea4f9d39dc10db9f7308c01
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |