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met-office-datasets

0.0.17

met_office_datasets-0.0.17-py3-none-any.whl

Wheel Details

Project:	met-office-datasets
Version:	0.0.17
Filename:	met_office_datasets-0.0.17-py3-none-any.whl
Download:	[link]
Size:	35410
MD5:	`2c5186fe14f57210630016e652bf02d6`
SHA256:	`61b21fabb81e488af47162ef7416c8b930e62321d5234603e71ac5edb6e1d7d4`
Uploaded:	2020-11-27 19:58:32 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt · zip-safe

METADATA

Metadata-Version:	2.1
Name:	met-office-datasets
Version:	0.0.17
Summary:	DESCRIPTION
Author:	Theo McCaie
Author-Email:	theo.mccaie[at]informaticslab.co.uk
Home-Page:	https://github.com/informatics-lab/met_office_datasets
Classifier:	Operating System :: OS Independent
Classifier:	Programming Language :: Python
Classifier:	Programming Language :: Python :: 3
Classifier:	Programming Language :: Python :: 3.6
Classifier:	Programming Language :: Python :: 3.7
Classifier:	Programming Language :: Python :: 3.8
Classifier:	Topic :: Software Development :: Libraries :: Python Modules
Classifier:	Natural Language :: English
Requires-Dist:	numpy (>=1.11)
Requires-Dist:	dask (>=1.0)
Requires-Dist:	xarray
Requires-Dist:	zarr (>=2)
Requires-Dist:	adlfs
Requires-Dist:	h5netcdf (>=0.8)
Requires-Dist:	intake
Requires-Dist:	intake-xarray
Requires-Dist:	toolz
Description-Content-Type:	text/markdown

[Description omitted; length: 1003 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.35.1)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
met_office_datasets/__init__.py	sha256=tlOgmSEsKl3QgKHaik-MddhuFKXMYORuVGaY6-LlIAc	769
met_office_datasets/_version.py	sha256=eGxZ0NRBY1M6MwEZ6GGC5kVPp1lja5YfGXEhjma8PnI	498
met_office_datasets/air_quality_cat.yaml	sha256=W2cEi-leGc_iZM5jQYZjxkzr1F5St-NaCz4bC8bNfuE	2990
met_office_datasets/mogreps_uk_cat.yaml	sha256=tNPlXbYphbUTpIDRE3EZlldKVpz374UZPOW4mP6sVF4	2870
met_office_datasets/cats/air_quality_cat.yaml	sha256=W2cEi-leGc_iZM5jQYZjxkzr1F5St-NaCz4bC8bNfuE	2990
met_office_datasets/cats/mogreps_uk_cat.yaml	sha256=d3K0LgCvVRmA4It7EmE6CqoSv6ob7hzOMUMoifzsXAI	477
met_office_datasets/cats/ukv_timeseries.yaml	sha256=Ug8T9kahleXaIlmE3W5p4lJdfBuVix49kqOpckeIFZ8	4046
met_office_datasets/cats/mogreps_uk/depth_level_data.yaml	sha256=peaLGfUBF6ulLTHHbUy4pAnJgMcc3XCN7PwTOkoapDI	2132
met_office_datasets/cats/mogreps_uk/height_level_data.yaml	sha256=oXbo7kqNNBHLKVQ0mLusr51dNS50p3iwm5763RCocyY	2437
met_office_datasets/cats/mogreps_uk/pressure_level_data.yaml	sha256=P5wXG4buTOLDCu0VHuc9nSFUv5Kya2jP0VHLpfu23sE	2130
met_office_datasets/cats/mogreps_uk/single_level_data.yaml	sha256=KnEpp51yupQQDaIeqwkmLvgN4gHYCosLUQBPKzIA-rs	2901
met_office_datasets/datasources/__init__.py	sha256=grdHG-OzSFvY2tneJ0eeS5ZzZx5-qs6vrMrEBxHPOHs	3253
met_office_datasets/datasources/aq_datasource.py	sha256=IDjkpgEIUSqbMMjbJLPhBJlxw07ElxI5SmdaoDRpqWc	9092
met_office_datasets/datasources/dataset.py	sha256=Txw-wysLMTfSWSqSvH6d7dYWsxfeyimLZpX-nThcndE	8404
met_office_datasets/datasources/historic.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
met_office_datasets/datasources/utils.py	sha256=oJrz0-8XlyPUrXtnO1HJsn84EyyxRZGUgDV-s_7St7g	1120
met_office_datasets/zarrhypothetic/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
met_office_datasets/zarrhypothetic/zarrhypothetic.py	sha256=qic3CQ82DgXyRSjhocVaX5_3icGJHFsy86VHQOVHpxc	11246
met_office_datasets-0.0.17.dist-info/LICENSE	sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY	35149
met_office_datasets-0.0.17.dist-info/METADATA	sha256=xu9Yl-QMECfTU4hiWFYJ2pddKOCFiKaQbhfzv-LDTKg	1929
met_office_datasets-0.0.17.dist-info/WHEEL	sha256=EVRjI69F5qVjm_YgqcTXPnTAv3BfSUr0WVAHuSP3Xoo	92
met_office_datasets-0.0.17.dist-info/entry_points.txt	sha256=SqwkTMhbwarCmbvzofVa7TJ-3h2gC4Pl1Oz1d-24PDM	56
met_office_datasets-0.0.17.dist-info/top_level.txt	sha256=92ri2qv09ZeX9xXHd3sngN7n3o777-L4GFb8frbgxKM	20
met_office_datasets-0.0.17.dist-info/zip-safe	sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs	1
met_office_datasets-0.0.17.dist-info/RECORD	—	—

top_level.txt

met_office_datasets

entry_points.txt

[intake.catalogs]

met_office = met_office_datasets:cat