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 0.7.1
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-0.7.1.tar.gz | 194.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| xarray-0.7.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 413.6 kB
Release files / xarray-0.7.1.tar.gz
| Download URL | xarray-0.7.1.tar.gz |
|---|---|
| Size | 194.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
45de28db8cf9e99e6c37a12b6cdd8138876f95c890c89449bab75cd011be8ceb
|
|
BLAKE2b-256 checksum How to use checksums |
56d1148d0cea8108ef442d9302a8df682ef387ab669682bc88b602a06dfc0896
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / xarray-0.7.1-py2.py3-none-any.whl
| Download URL | xarray-0.7.1-py2.py3-none-any.whl |
|---|---|
| Size | 219.3 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
539ccd264a8782b52aeb1657c410ccce471e432906d44fa6c4feaac4db117e7e
|
|
BLAKE2b-256 checksum How to use checksums |
ccfd1b0bb28278f1689b7f9dce9f6362e01c307f38e66bf387c07d3c364ef9a5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |