What’s New

v0.3.0 (2025-01-31)

  • Added support for Python 3.9 ~ 3.13

  • Added support for MongoDB 5.0 ~ 8.0

  • Added support for recent versions of all dependencies

  • Increased all minimum dependencies:

    Dependency

    0.2.1

    0.3.0

    MongoDB

    3.6

    4.0

    Python

    3.6

    3.9

    numpy

    1.15

    1.19

    dask

    1.2

    2.24

    pandas

    0.24

    1.1

    xarray

    0.13

    0.16

    pymongo

    3.7

    3.11

    motor

    2.0

    2.3

    pint

    0.10

    0.18

    sparse

    0.9

    removed

v0.2.1 (2021-01-13)

  • Support for dask 2020.12

  • CI tests for MongoDB 4.4 and Python 3.9

  • Use Sphinx 3 for documentation

v0.2.0 (2020-07-03)

Database structure changes

  • Removed units field from the xarray.chunks collection. Pint must always wrap around dask, and not the other way around.

  • DataArray.attrs was previously lost upon storage; it is now saved in the top-level attrs dict. (#10).

  • The attrs dict is now omitted if empty.

  • Added attrs dict under every element of coords and data_vars (omitted if empty).

  • Embed small variables into the metadata document. Added optional data key to each variable on the database. Added new parameter embed_threshold_bytes to control how aggressive embedding should be (see API Reference).

Packaging changes

  • xarray_mongodb now adopts a rolling Minimum dependency versions policy based on NEP-29.

    Increased minimum dependency versions:

    Package

    old

    new

    xarray

    0.10.4

    0.13

    numpy

    1.13

    1.15

    dask

    1.1

    1.2

    pandas

    0.21

    0.24

  • Added support for Python 3.8

  • Added support for Motor on Windows (requires Motor >=2.1)

  • toolz is now automatically installed by pip install xarray_mongodb

  • Now using setuptools-scm for versioning

  • Now using GitHub actions for CI

  • Run all CI tests on MongoDB 3.6 and 4.2

Other changes

  • Fixed error when a package importing xarray_mongodb runs mypy --strict

  • Automatically cast scalar numpy objects (e.g. float64) wrapped by pint.Quantity to scalar ndarrays upon insertion

v0.1.0 (2019-03-13)

Initial release.