xarray@0.12.3

N-D labeled arrays and datasets in Python

2019-07-10 Python >=3.11 wheel sdist

安装 (0.12.3)

pip install xarray==0.12.3

poetry add xarray==0.12.3

pipenv install xarray==0.12.3

conda install xarray=0.12.3

依赖 (42)

依赖
`numpy>=1.26`
`packaging>=24.2`
`pandas>=2.2`
`scipy>=1.15; extra == "accel"`
`bottleneck; extra == "accel"`
`numbagg>=0.9; extra == "accel"`
`numba>=0.62; extra == "accel"`
`flox>=0.10; extra == "accel"`
`opt_einsum; extra == "accel"`
`xarray[accel,etc,io,parallel,viz]; extra == "complete"`
`netCDF4>=1.6.0; extra == "io"`
`h5netcdf[h5py]>=1.5.0; extra == "io"`
`pydap; extra == "io"`
`scipy>=1.15; extra == "io"`
`zarr>=3.0; extra == "io"`
`fsspec; extra == "io"`
`cftime; extra == "io"`
`pooch; extra == "io"`
`sparse>=0.15; extra == "etc"`
`dask[complete]; extra == "parallel"`
`cartopy>=0.24; extra == "viz"`
`matplotlib>=3.10; extra == "viz"`
`nc-time-axis; extra == "viz"`
`seaborn; extra == "viz"`
`pandas-stubs; extra == "types"`
`scipy-stubs; extra == "types"`
`types-colorama; extra == "types"`
`types-decorator; extra == "types"`
`types-defusedxml; extra == "types"`
`types-docutils; extra == "types"`
`types-networkx; extra == "types"`
`types-openpyxl; extra == "types"`
`types-pexpect; extra == "types"`
`types-psutil; extra == "types"`
`types-pycurl; extra == "types"`
`types-Pygments; extra == "types"`
`types-python-dateutil; extra == "types"`
`types-pytz; extra == "types"`
`types-PyYAML; extra == "types"`
`types-requests; extra == "types"`
`types-setuptools; extra == "types"`
`types-xlrd; extra == "types"`

下载文件

文件名	类型	Python 版本	大小
xarray-0.12.3-py2.py3-none-any.whl	bdist_wheel	`py2.py3`	566624 bytes
xarray-0.12.3.tar.gz	sdist	`source`	1793550 bytes

版本列表

2026.4.0 2026-04-13

2026.2.0 2026-02-13

2026.1.0 2026-01-28

2025.12.0 2025-12-05

2025.11.0 2025-11-17

2025.10.1 2025-10-07

2025.10.0 2025-10-06

2025.9.1 2025-09-30

2025.9.0 2025-09-04

2025.8.0 2025-08-14

2025.7.1 2025-07-10

2025.7.0 2025-07-03

2025.6.1 2025-06-12

2025.6.0 2025-06-10

2025.4.0 2025-04-29

2025.3.1 2025-03-31

2025.3.0 2025-03-20

2025.1.2 2025-01-31

2025.1.1 2025-01-09

2025.1.0 2025-01-03

2024.11.0 2024-11-22

2024.10.0 2024-10-24

2024.9.0 2024-09-11

2024.7.0 2024-07-30

2024.6.0 2024-06-13

2024.5.0 2024-05-13

2024.3.0 2024-03-29

2024.2.0 2024-02-19

2024.1.1 2024-01-23

2024.1.0 2024-01-17

2023.12.0 2023-12-08

2023.11.0 2023-11-17

2023.10.1 2023-10-19

2023.10.0 2023-10-19

2023.9.0 2023-09-26

2023.8.0 2023-08-20

2023.7.0 2023-07-17

2023.6.0 2023-06-23

2023.5.0 2023-05-19

2023.4.2 2023-04-21

2023.4.1 2023-04-18

2023.4.0 2023-04-14

2023.3.0 2023-03-22

2023.2.0 2023-02-07

2023.1.0 2023-01-18

2022.12.0 2022-12-02

2022.11.0 2022-11-04

2022.10.0 2022-10-13

2022.9.0 2022-09-29

2022.6.0 2022-07-22

2022.6.0rc0 2022-06-09

2022.3.0 2022-03-02

0.21.1 2022-02-01

0.21.0 2022-01-28

0.20.2 2021-12-10

0.20.1 2021-11-05

0.20.0 2021-11-02

0.19.0 2021-07-23

0.18.2 2021-05-19

0.18.1 2021-05-19

0.18.0 2021-05-06

0.17.0 2021-02-26

0.16.2 2020-11-30

0.16.1 2020-09-20

0.16.0 2020-07-11

0.15.1 2020-03-23

0.15.0 2020-01-30

0.14.1 2019-11-19

0.14.0 2019-10-14

0.13.0 2019-09-17

0.12.3 2019-07-10

0.12.2 2019-06-30

0.12.1 2019-04-05

0.12.0 2019-03-16

0.11.3 2019-01-26

0.11.2 2019-01-03

0.11.1 2018-12-30

0.11.0 2018-11-07

0.10.9 2018-09-22

0.10.8 2018-07-18

0.10.7 2018-06-08

0.10.6 2018-06-01

0.10.5 2018-06-01

0.10.4 2018-05-17

0.10.3 2018-04-14

0.10.2 2018-03-13

0.10.1 2018-02-26

0.10.0 2017-11-20

0.10.0rc2 2017-11-14

0.10.0rc1 2017-10-31

0.9.6 2017-06-09

0.9.5 2017-04-17

0.9.4 2017-04-17

0.9.3 2017-04-16

0.9.2 2017-04-03

0.9.1 2017-01-30

0.9.0 2017-01-26

0.9.0rc1 2017-01-11

0.8.2 2016-08-19

0.8.1 2016-08-06

0.8.0 2016-08-03

0.8.0rc1 2016-07-29

0.7.2 2016-03-15

0.7.1 2016-02-17

0.7.0 2016-01-22