Wheelodex » Projects » MetPy

MetPy

View on PyPI — Reverse Dependencies (47)

1.6.3 MetPy-1.6.3-py3-none-any.whl

Wheel Details

Project: MetPy
Version: 1.6.3
Filename: MetPy-1.6.3-py3-none-any.whl
Download: [link]
Size: 409916
MD5: cffba8cc6f142bdb36f15b3c3cda2944
SHA256: 9946436197394d63647aac4310191028707bd644d4a8e41ee310d6d77c0f71f8
Uploaded: 2024-08-26 23:14:35 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: MetPy
Version: 1.6.3
Summary: Collection of tools for reading, visualizing and performing calculations with weather data.
Maintainer-Email: MetPy Developers <support-python[at]unidata.ucar.edu>
Project-Url: homepage, https://github.com/Unidata/MetPy
Project-Url: Documentation, https://unidata.github.io/MetPy/
Project-Url: Release Notes, https://github.com/Unidata/MetPy/releases
Project-Url: Bug Tracker, https://github.com/Unidata/MetPy/issues
Project-Url: Source Code, https://github.com/Unidata/MetPy
Project-Url: Twitter, https://twitter.com/MetPy
Project-Url: MetPy Mondays, https://www.youtube.com/playlist?list=PLQut5OXpV-0ir4IdllSt1iEZKTwFBa7kO
License: BSD-3-Clause
Keywords: meteorology,weather
Classifier: Development Status :: 5 - Production/Stable
Classifier: Framework :: Matplotlib
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: BSD License
Requires-Python: >=3.9
Requires-Dist: matplotlib (>=3.5.0)
Requires-Dist: numpy (>=1.20.0)
Requires-Dist: pandas (>=1.4.0)
Requires-Dist: pint (>=0.17)
Requires-Dist: pooch (>=1.2.0)
Requires-Dist: pyproj (>=3.0.0)
Requires-Dist: scipy (>=1.8.0)
Requires-Dist: traitlets (>=5.0.5)
Requires-Dist: xarray (>=0.21.0)
Requires-Dist: metpy[examples]; extra == "doc"
Requires-Dist: myst-parser; extra == "doc"
Requires-Dist: netCDF4; extra == "doc"
Requires-Dist: sphinx; extra == "doc"
Requires-Dist: sphinx-gallery (>=0.4); extra == "doc"
Requires-Dist: sphinx-design; extra == "doc"
Requires-Dist: pydata-sphinx-theme; extra == "doc"
Requires-Dist: geopandas (>=0.6.0); extra == "examples"
Requires-Dist: metpy[extras]; extra == "examples"
Requires-Dist: cartopy (>=0.21.0); extra == "extras"
Requires-Dist: dask (>=2020.12.0); extra == "extras"
Requires-Dist: shapely (>=1.6.4); extra == "extras"
Requires-Dist: netCDF4; extra == "test"
Requires-Dist: packaging (>=21.0); extra == "test"
Requires-Dist: pytest (>=6.2); extra == "test"
Requires-Dist: pytest-mpl; extra == "test"
Provides-Extra: doc
Provides-Extra: examples
Provides-Extra: extras
Provides-Extra: test
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS.txt
[Description omitted; length: 6109 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (73.0.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
metpy/__init__.py sha256=-G8lelUnzoxEssUS6ghGgxxK1ufG6WQAivK1U5y5EG8 525
metpy/_version.py sha256=Gqd7JOI88rnPzsSX878_BH0830gxPDwogpjf-ey1sLo 1332
metpy/_warnings.py sha256=A5kqmp3-00KBhe8-75_CG6OVe0H7oza-_dIBReu6xls 823
metpy/cbook.py sha256=6mOBh698TScUi3CfZ2oQKxYPivEbQlqUU0KNgP-OSYE 4796
metpy/deprecation.py sha256=tkeysVsJxN0xqWEpiKt28k-0nnKrjLckRFQ2dQgoFBg 11148
metpy/future.py sha256=FSniuaGcmUYqp3GV87HsR_apjkS5UCHhqJF2yBxOL9w 285
metpy/package_tools.py sha256=qUS97UTqeMCDkURp_RZ6ZFMHEO8B07EWINEF2iE759o 2178
metpy/pandas.py sha256=lUWMQyHKvFWmr1G4KgXMcUcK7NwIspIbe7REtuuF2fo 826
metpy/static-data-manifest.txt sha256=XGWjVdFqW-nl2B0LwclDBIFyk8Ptg8VRXRUSGWsN_hM 24686
metpy/testing.py sha256=gpIIPKN3tbauOIFi3Agnpq8P4V9VSmF0JiOeGT6h1H0 10846
metpy/units.py sha256=x-DKdGj7YLOaQ12Q-19lmSZG1Pb3Q-4s-sZ2ucgFM9s 14860
metpy/xarray.py sha256=QyIrXdHcyaUNEyTB1O4N0EW70Y58oYWHqqmUJ_Duk1g 65185
metpy/_vendor/__init__.py sha256=IMdvXQeue5mxlUQhFhGqDkHds8WBAP50YK9YWa23bJI 189
metpy/_vendor/xarray.py sha256=tI5IfKJZe3TvkIYFNcegTvo3leVRy2NrQd-tguyAmKs 2816
metpy/calc/__init__.py sha256=KGXhegyqWnB_KQh6b3MX0m152nknTbtgzURvgSYpqO8 1085
metpy/calc/basic.py sha256=K8LwNIidpJpcWr9KngVdrQJE9B4JMwFQn7gbv7J9sG8 46962
metpy/calc/cross_sections.py sha256=eSCc_FnVFSC1X6gzxt-qNAbNrLBZndMmeq0It3z7HC4 10773
metpy/calc/exceptions.py sha256=OrUd2qtSYWGB_QZ-ILLMY8jY_m-rvbGz95aD3_XeE84 325
metpy/calc/indices.py sha256=hGZ7QC_Suj2zqheUocFyD-OKh_GE7HG_FzX75NALn-Q 26494
metpy/calc/kinematics.py sha256=Lpes8_sJRll7yebss3NSHb-V6a2TiLS7XVQGHJVRCvc 64486
metpy/calc/thermo.py sha256=5C98M9Qk3a968K7wuRIgCQOi_xNcIEGKqUBUQzxiekI 184161
metpy/calc/tools.py sha256=DDCcxM5U0HLHpNOHnrWb-CNEg6EbBVIKXNqRyaylbrs 78531
metpy/calc/turbulence.py sha256=sU7x8GvVJ5uc4Ej4JDVOmC6o4HgBJWugtBiiA1KVVpI 7653
metpy/constants/__init__.py sha256=GrmWCT-7zk_c12YeXMTcRjtm4U_xBFIMZagyDk-kl04 6442
metpy/constants/default.py sha256=Sg8kT9GBm3alVADl1Bcdy9U8K8DHNgc5tclbzfoJk9k 2866
metpy/constants/nounit.py sha256=bT9ZbYEW3YzMyxgrqxeAf0Yqgps-aHROIQl11CykAc0 602
metpy/interpolate/__init__.py sha256=jf5JxV7RAQz2BzxBsK7KkxvNXhoggjLjRUaZcYJU8RE 778
metpy/interpolate/geometry.py sha256=ky7goy3e16wQ350DmnJBSGqqiQL0AA8v3gzdw-QwzZE 10458
metpy/interpolate/grid.py sha256=MVEUA3SxG72K3iqMfvUus98S7Y6Meukf_QaeiHEXTPw 12800
metpy/interpolate/one_dimension.py sha256=8R8PyF2p_cit7apQhahXL_Y-j034l7DJAZZmezquTjA 7900
metpy/interpolate/points.py sha256=REUrjib4-OG9HcyIQA2CsQ1yJm0awz6TGAnMkoI04_g 13684
metpy/interpolate/slices.py sha256=6BkXiuC2GAS-U-8inzfwqsrbKdHcZOLULL4NevOj3Vo 6754
metpy/interpolate/tools.py sha256=ZhdZaRlQ_Ax3TSw4pk1sepYBKTE_Ja7E-ICe3ljA51Y 4444
metpy/io/__init__.py sha256=wXigN3wgTqPsd7aQX2dKc9UPmIj2XKcXbOODot6sCQA 1305
metpy/io/_tools.py sha256=Uh_0yEmU4IKGLvUhCg3a9f2D4V1uk1u2STmXeQw-g8U 12271
metpy/io/gempak.py sha256=KICW4lWIRkhqefTPBA4n6nKbGDJQv-F13FUDAvTxS60 114701
metpy/io/gini.py sha256=aS2jJj_L7GshfSk0qn8hlhZXIpQuqo2-cFoNew_U7Tg 18521
metpy/io/metar.py sha256=vSjHzb6EajJuOgavZLdf8ym78JVQPrENiGt-wUzpuoo 20102
metpy/io/nexrad.py sha256=smem57DfXN6SplEzeOsvzYNxX_ABUqSxq3PvhN_PlG0 119872
metpy/io/station_data.py sha256=rZOyscmJ8cT9YHLXATWldbeYXPFlZFkhOHZfy0YxTiw 7604
metpy/io/text.py sha256=uWk_EP49XKjxBxd0rPUC95Ba570W1_Tl9EVBEShBIdI 5913
metpy/io/_metar_parser/Makefile sha256=d0QuOVpeVsFjio4f_84Zectd15BVY7KQj3OI0NfclYU 59
metpy/io/_metar_parser/metar_parser.peg sha256=NmThz7S_eQ3qz2DT6MDs18DI3Se_JF4hN2En7WAZDG4 1597
metpy/io/_metar_parser/metar_parser.py sha256=gN90dcVttIb5QUX7Q7WLptvWXY4d4SiWDFlWois-OW4 228959
metpy/io/_nexrad_msgs/__init__.py sha256=XBaQjAgGMwQ1mlueVkQ1Yw2yjOfInGowcxyu3qg9rT4 203
metpy/io/_nexrad_msgs/msg18.py sha256=yg7l6m4s28kxOqTjd9KjrYb2sXjmMYPf9Loy9BkdS60 43236
metpy/io/_nexrad_msgs/msg3.py sha256=4pcq_FymqgvZBM5NKieLlecJlGku1zxe-IU7qtccLuk 18946
metpy/plots/__init__.py sha256=3I0Y4Kz97N_W8eBBnlmZ-NmGiky-BTbW288ifE8s1xY 1813
metpy/plots/_mpl.py sha256=WVznzaCYXL3BUoox72pOZkiP3eTPs1RlPcjrIfmvAf4 9350
metpy/plots/_util.py sha256=3fS-O4ItKxXTI5JzDEbfY1FaFRF8edqERfuhLfIkRvw 9200
metpy/plots/cartopy_utils.py sha256=kmpULBEdWGuPU_vKXgFxIrxnJHHQfZaR-JxBfO6Ezfk 2810
metpy/plots/ctables.py sha256=RUmP9s5HAGIOVdZBrOlwY5ZMDNnZQRGpjKOMoYtuu50 8716
metpy/plots/declarative.py sha256=yPq2V_GzEKoj3lTp8hZftMfTbBu2unL7pwC_mC2s0yI 82729
metpy/plots/mapping.py sha256=-HO47-815uPonhED-N2p0Dxf1w046QSTqw4jVJIhVcg 8419
metpy/plots/patheffects.py sha256=6yNvx7NB9ejAMsJvZEI7GEjiea7cKND_O8jJPdYvFTk 43343
metpy/plots/plot_areas.py sha256=e3ozgQ_hp3dMw2P8ZTT6SBDHmfFI1cmQYgC1YEVnBNM 39092
metpy/plots/skewt.py sha256=4dQGyYQn7ywpj41mTyeqXWeJltp3NSY7_tJGKNb3vVE 36985
metpy/plots/station_plot.py sha256=Ss__zBC6X9SDKXPkO45DO0rB2_SN_HdQdx1uro-rjMs 28238
metpy/plots/wx_symbols.py sha256=ysXRMrVjcKdx9DNyPsl6ozfjQnCyYQaXg9DTivHjn_A 10744
metpy/plots/_static/metpy_150x150.png sha256=l5fPJwq0vCZqRQWwkZSJ919O-sRUc2cmYGVZLGJSGkA 8107
metpy/plots/_static/metpy_75x75.png sha256=JNgRC9mQNxKsknufULg4a-_rwOTI3f3-G8GIMkbahdU 10814
metpy/plots/_static/unidata_150x150.png sha256=InSTheacgq5oXSBuxa77ZELX0kK4Rh_3vtyiQad3vRY 27463
metpy/plots/_static/unidata_75x75.png sha256=qYG8IFkuZdBeUVOEe8VB34Y5A6mOjzilqyjJ2QhSw0Q 11438
metpy/plots/colortable_files/Carbone42.tbl sha256=yojbUpKlHMPiAMF3Ki26COncU9EVkoWqafRmQ62IRY0 2396
metpy/plots/colortable_files/NWS8bitVel.tbl sha256=i1iGftqNPkw3ZPK-oTfkIO1PHprdu0fW8IjCN2MCNgg 6200
metpy/plots/colortable_files/NWSReflectivity.tbl sha256=9z8NYmTUIMtV7-edWEFcoFY5GgzGB_oO-gYfMzFBji8 464
metpy/plots/colortable_files/NWSReflectivityExpanded.tbl sha256=CyKPl3eEM0iFAumjbagIVYpXuU6QUxI_1IisKMO3tVg 348
metpy/plots/colortable_files/NWSSpectrumWidth.tbl sha256=tLfwGv8intDKH0jtiMGVA0jOcZ0SNoySNiytM4khXXc 273
metpy/plots/colortable_files/NWSStormClearReflectivity.tbl sha256=qkMpTCSk9tRfby25rz68p5Z8ZP80HvnBk7Wk2hyLUpI 6014
metpy/plots/colortable_files/NWSVelocity.tbl sha256=qtawjHplx8jCLFmqPyMWuKpQQq28MzUWMZosl-Zw-rg 507
metpy/plots/colortable_files/WVCIMSS.tbl sha256=cOfYCzVkInxORjCHDVS7OiZ73xAHMCPkw9-JD5R_LXU 4526
metpy/plots/colortable_files/ir_bd.tbl sha256=xE4TrOQDT6Ebhy6UkM19VR4QQk6zS1HFbnOooWtLuzg 6138
metpy/plots/colortable_files/ir_drgb.tbl sha256=3FBSJORVJ_ErO49_3BCNDr05nST4jWg_iWqA6LSPs9Q 1798
metpy/plots/colortable_files/ir_rgbv.tbl sha256=9bwUUKoARbukBos-xFsSjcN9ziqFfXwLOuUV-gtfC3s 1767
metpy/plots/colortable_files/ir_tpc.tbl sha256=t02hYOfm7uqiIA7afKli2Xk7eXQ-48vzVTFYZhgxj68 7936
metpy/plots/colortable_files/ir_tv1.tbl sha256=Sm1vAvALbwvur59VqNJmi_nWrm3giqbaEtyUlAeyQIo 4929
metpy/plots/colortable_files/precipitation.tbl sha256=6_AREqMd6cYTM3MTLpsxu3QMve-UK5hKEmVRDnJiceE 921
metpy/plots/colortable_files/rainbow.tbl sha256=aaE5jp7oE5mF25ZTFBnp-2K_QJ6CZX43oJ5x1R7iUBQ 6014
metpy/plots/colortable_files/wv_tpc.tbl sha256=WupDWSrFDBlpYVwyZCaPIKA9BGiF4yxgon0tBspTfV0 3658
metpy/plots/fonts/wx_symbols.ttf sha256=EQ-MZ13sluaM6tFuT-TpTV_nUW643ElTycy5JhxNxjc 51028
metpy/plots/fonts/wx_symbols_license.md sha256=4SWJSgR3rOCa7PELXmoM8uDQ8e1MOsT1xOo8PI0TGjo 327
metpy/plots/nexrad_tables/cc_table.tbl sha256=kOgbjvr1mQQKqc6-lk-2sSRnvrPHtB_CNvl18z5avFM 160
metpy/plots/nexrad_tables/et_table.tbl sha256=CQkpmlevd6TIWBuoOicg-vtnmwad3aE0piwYPkYySfQ 160
metpy/plots/nexrad_tables/hmc_table.tbl sha256=i0_8Sz80BXsHQ77E9d8hOjMAHP4MyJyTiLiexxNJNS8 160
metpy/plots/nexrad_tables/kdp_table.tbl sha256=lX3du3l4LqjZGYQ9OBjwjigv7frmaUBi_T0aoeEbptM 160
metpy/plots/nexrad_tables/lcr_tabl.tbl sha256=kLHFBFLCVsKQYa1_fT6oNedD1uxCZY0vcMOUP7_Zt4g 80
metpy/plots/nexrad_tables/ml_table.tbl sha256=4UKIrNlddC2bwcqQfZeax5Ul21XDjNSmxtOMhHdoZ1E 40
metpy/plots/nexrad_tables/osw_table.tbl sha256=2uI4hEI40rmwpZoktXBeNut3XufxVVZ84RKPjHkr8c4 160
metpy/plots/nexrad_tables/precip_table.tbl sha256=2uI4hEI40rmwpZoktXBeNut3XufxVVZ84RKPjHkr8c4 160
metpy/plots/nexrad_tables/ref_table.tbl sha256=3ZFENSGxdAO8o1NvDfI4kljWENSki3fqdRZk-FbHg00 160
metpy/plots/nexrad_tables/ref_table8.tbl sha256=kLHFBFLCVsKQYa1_fT6oNedD1uxCZY0vcMOUP7_Zt4g 80
metpy/plots/nexrad_tables/spw_table.tbl sha256=6i-2hRVutzRIJ-J76msTKySJ9VqLYus6-VVZMnvrilI 80
metpy/plots/nexrad_tables/srm_table.tbl sha256=XHjlGaz5AxcL7yRZncJyrxu6MPreaz6ya37H_4CK-l4 160
metpy/plots/nexrad_tables/ulr_table.tbl sha256=3ZFENSGxdAO8o1NvDfI4kljWENSki3fqdRZk-FbHg00 160
metpy/plots/nexrad_tables/vad_table.tbl sha256=GlXLS_v91Mz7RoWcjXhs88tic6vm8b8x5fK9GMyZGmw 80
metpy/plots/nexrad_tables/vel_table.tbl sha256=EfVay2de99TLzIMwv82zSpSx7sRxfwv4qQuLpdklwyw 160
metpy/plots/nexrad_tables/vel_table8.tbl sha256=8zIrXJnZtNIJTcQmVFsa0PXSqObOmrQUijA8h_NdtaM 80
metpy/plots/nexrad_tables/vil_table.tbl sha256=br6azJrTzPtHXj5KCeTsGRHjDUjObA64hcUDtSkl_XE 160
metpy/plots/nexrad_tables/vwp_table.tbl sha256=KFRdG5r7xw1Kk4rXHYTIGyebnINmaowDfLR3API_pmM 50
metpy/plots/nexrad_tables/zdr_table.tbl sha256=NsVJMfUuu30rIyFoWNwQJOF8fgVJjySqxoKsjxthQUQ 160
MetPy-1.6.3.dist-info/AUTHORS.txt sha256=mjCv5OOWlnFYjGc_iOr5iNImAWeyFukloOVn-hypEEs 742
MetPy-1.6.3.dist-info/LICENSE sha256=xu5f1vxPUaobEuisG1wX3eRfoN8A4IFYy5-xkvsnh7c 1521
MetPy-1.6.3.dist-info/METADATA sha256=iatwyOXkKtTv4KDhDXD6LnFUwwj5xwKlkLRn75tqvM4 8644
MetPy-1.6.3.dist-info/WHEEL sha256=Mdi9PDNwEZptOjTlUcAth7XJDFtKrHYaQMPulZeBCiQ 91
MetPy-1.6.3.dist-info/entry_points.txt sha256=9DihQCmse_smgbrS2nAaX9nnEBIhnwT76xI3HNvRQNA 57
MetPy-1.6.3.dist-info/top_level.txt sha256=686q1gneCnHzkbOjGTzUqLT6Lc6P0wEBwpjhhS_IXdQ 6
MetPy-1.6.3.dist-info/RECORD — —

top_level.txt

metpy

entry_points.txt

[xarray.backends]
gini = metpy.io.gini:GiniXarrayBackend