Installation#
Xorbits can be installed via pip from PyPI.
pip install xorbits
Python version support#
Officially Python 3,7, 3.8, 3.9 and 3.10.
Dependencies#
Package |
Minimum supported version |
|---|---|
1.20.3 |
|
1.0.0 |
|
1.0.0 |
|
0.20 |
|
cloudpickle |
1.5.0 |
pyyaml |
5.1 |
psutil |
5.9.0 |
pickle5 (for python version < 3.8) |
0.0.1 |
shared-memory38 (for python version < 3.8) |
0.1.0 |
tornado |
6.0 |
sqlalchemy |
1.2.0 |
defusedxml |
0.5.0 |
tqdm |
4.1.0 |
uvloop (for systems other than win32) |
0.14.0 |
Recommended dependencies#
Recommended dependencies can be installed conveniently using pip.
pip install 'xorbits[extra]'
The following extra dependencies will be installed.
numexpr: for accelerating certain numerical operations.
numexpruses multiple cores as well as smart chunking and caching to achieve large speedups. If installed, must be Version 2.6.4 or higher.pillow: the Python Imaging Library. If installed, must be Version 7.0.0 or higher.
pyarrow: python API for Arrow C++ libraries. If installed, must be Version 5.0.0 or higher.
lz4: python bindings for the LZ4 compression library. If installed, must be Version 1.0.0 or higher.
fsspec: for cloud data accessing. If installed, must be Version 2022.7.1 or higher and cannot be Version 2022.8.0.
Note
You are highly encouraged to install these libraries, as they provide speed improvements, especially when working with large data sets.