MetPy

View on PyPIReverse Dependencies (7)

0.12.2 MetPy-0.12.2-py3-none-any.whl

Wheel Details

Project: MetPy
Version: 0.12.2
Filename: MetPy-0.12.2-py3-none-any.whl
Download: [link]
Size: 319627
MD5: 340ec2827ccd9afe904e187028b47c82
SHA256: b6d96ba434bf87e036bfbe4d10b3f0fa326a167ca0f33e0b3d5ec41cef7b6a68
Uploaded: 2020-08-06 20:19:27 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: MetPy
Version: 0.12.2
Summary: Collection of tools for reading, visualizing and performing calculations with weather data.
Author: Ryan May, Patrick Marsh, Sean Arms, Eric Bruning, John Leeman, Zach Bruick
Author-Email: support-python[at]unidata.ucar.edu
Maintainer: MetPy Developers
Maintainer-Email: support-python[at]unidata.ucar.edu
Home-Page: 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
License: BSD 3-Clause
Keywords: meteorology,weather
Classifier: Development Status :: 4 - Beta
Classifier: Framework :: Matplotlib
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
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
Platform: any
Requires-Python: >=3.6
Requires-Dist: matplotlib (>=2.1.0)
Requires-Dist: numpy (>=1.16.0)
Requires-Dist: scipy (>=1.0)
Requires-Dist: pint (>=0.10.1)
Requires-Dist: xarray (>=0.13.0)
Requires-Dist: pooch (>=0.1)
Requires-Dist: traitlets (>=4.3.0)
Requires-Dist: pandas (>=0.22.0)
Requires-Dist: sphinx (<3.0); extra == "doc"
Requires-Dist: sphinx-gallery (>=0.4); extra == "doc"
Requires-Dist: m2r; extra == "doc"
Requires-Dist: netCDF4; extra == "doc"
Requires-Dist: cartopy (>=0.15.0); extra == "examples"
Requires-Dist: matplotlib (>=2.2.0); extra == "examples"
Requires-Dist: pyproj (!=2.0.0,>=1.9.4); extra == "examples"
Requires-Dist: pytest (>=2.4); extra == "test"
Requires-Dist: pytest-mpl; extra == "test"
Requires-Dist: cartopy (>=0.16.0); extra == "test"
Requires-Dist: netCDF4; extra == "test"
Requires-Dist: pyproj (!=2.0.0,>=1.9.4); extra == "test"
Provides-Extra: doc
Provides-Extra: examples
Provides-Extra: test
Description-Content-Type: text/markdown
[Description omitted; length: 6313 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
metpy/__init__.py sha256=kfciWQ7XT9ATyLvPVo4aV13gDpZJIpU9gLVL6WHVbe4 1173
metpy/_version.py sha256=VK10u8BrCVycPQzLwsD2HCHn3btmahaFyr2FVZaoWqM 682
metpy/cbook.py sha256=qW5ScfqgExv6SF0P30sI1Ou1wSELOoOyQ_FAdtRsrRI 3522
metpy/constants.py sha256=ZORaZkN4jHR3v98s7vpDRZMuEDkopxnhGAiVCeRygw8 8368
metpy/deprecation.py sha256=5M5HYSqIJ88e6tY4egKbRiDOIDv5wjenhDFB3VDyo-o 11244
metpy/future.py sha256=YIQDIJYyuTU2yG4-YbdlA658ZGVR4gh-6ML6_y7roF4 6699
metpy/package_tools.py sha256=63kBGdLlTRyqhl-IECuMCIQ7arcXDZsck9l_nHkhi1Q 1441
metpy/pandas.py sha256=awRr1VFuTmAC8h07CiG-9i8FsHo5l6nl0qSyPxw_-Sg 874
metpy/static-data-manifest.txt sha256=Mgcse6zZOFQpIFEohdNhyJKA87LJjiUTKCnbCqvEIhk 17127
metpy/testing.py sha256=DK7bh3I-y2ugOQFT1JnM7zp3Nls0hF-UdIo0rTWUt9I 6894
metpy/units.py sha256=CZJGsVM-wS4vJBw2MXAim2mysN5ygpXIQipFoAuiEQE 13025
metpy/xarray.py sha256=1E6GhSRnoztAGR-eryVoDCfbKBQYLYB5h4G6sv3pyy4 30415
metpy/_vendor/__init__.py sha256=IMdvXQeue5mxlUQhFhGqDkHds8WBAP50YK9YWa23bJI 189
metpy/_vendor/xarray.py sha256=tI5IfKJZe3TvkIYFNcegTvo3leVRy2NrQd-tguyAmKs 2816
metpy/calc/__init__.py sha256=G_llapmLKqS7dk9NRuoi6v_K0MDHPDZ04UFzqQwCT5Q 983
metpy/calc/basic.py sha256=l7dCOxd9C6mTcn4yVt2_luumVYNRBy6Dcfj0AUBMFWM 34391
metpy/calc/cross_sections.py sha256=Xu7a0FPhVNb7MjuFNl1Dxz-ujrOXnawMrA45hgc91GM 10352
metpy/calc/indices.py sha256=RF-m5sQuID-3d7732pCqYLhFRhFnn4XU9Img_03stqU 13022
metpy/calc/kinematics.py sha256=FRJxUuBkJY1o3mHLHnLBz0f1-0w8S80mG1WObRfbt6A 32425
metpy/calc/thermo.py sha256=ogg5GW7OYYNHe5lcZRuCrtjB4jTjUflORQXkx_670oQ 88497
metpy/calc/tools.py sha256=G6l7DHscqp2QnvGat9Ur5dser6Y4MXCfzeRWkfIW7UQ 54359
metpy/calc/turbulence.py sha256=CENmjU24Hqt2VguF0O41cuP-l_8liMrb1ChXFDNu-ww 7621
metpy/interpolate/__init__.py sha256=yzJBgzL_1N5HopVv1Z1M8sz-ArgsMboRO1qA70-9_i8 716
metpy/interpolate/geometry.py sha256=1WxniKzMAs4yTLP5B4KZt3Rp0O-9hGQpNbCPqqip3Ts 10452
metpy/interpolate/grid.py sha256=hsv1cIvNZnvlv1br2GzKq5g6-7O2pDVVYK8zhxa6Zms 12464
metpy/interpolate/one_dimension.py sha256=1BaF30d31ND-ZwZizgWHTk6erGtNGLqGGSmFLjW20xg 7376
metpy/interpolate/points.py sha256=rpzUdXchhk_rQ6Utr6dF1VCsdof8eYFAH4hMhAkfrmA 12988
metpy/interpolate/slices.py sha256=bvM8RcbGvsN3W9x1m-hMqvnToLPvCPcspLuNlUdobwQ 6593
metpy/interpolate/tools.py sha256=e-092rqHIglOeT3j9FbvYl9JOs0k9JYPX4ZRwBLfZNY 4440
metpy/io/__init__.py sha256=pP1U0WtygPU9jmGBrRvcxb8Lz5e-cORMW98oBKxYT_M 723
metpy/io/_tools.py sha256=TF5Yqaf5FH0itpXCRhgoK-q25pIzrarebPQjIb9BJ9w 10414
metpy/io/gini.py sha256=i4x0_6wX_PjCvSgyEgIylAA2dvp8qk6SpeVZknNbNEs 18313
metpy/io/metar.py sha256=hnh-57UkX6lBGZczKpvgkjqtja-jlpKfpuijTppYwSY 25053
metpy/io/metar_parse.peg sha256=hFPC5gZ6_L2q728CAQZIKXct8YxA7VYm0CHkMWu4XpM 1412
metpy/io/metar_parser.py sha256=kbEPur8u02nbUyCfIheIsirDF4hYNjAbgN2kZiM2nyw 168644
metpy/io/nexrad.py sha256=chgib8bpqAYH7pf9uG5qYpmECbiBG5PZwB4qnsaPC2E 109658
metpy/io/station_data.py sha256=BIJLC2B_PJI0YMSUW0E1CQyHNZc3FsQKHiGflf2PDVk 5373
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=tJaCpeg091vcdW9YoPJIsif-q0cdrSPwY28OrOJ2Xk4 1325
metpy/plots/_mpl.py sha256=1M79VgLf_q85tRRleZ9X7pDftu_ai5o0MJl5bT0cCC0 10046
metpy/plots/_util.py sha256=pBUPklXYdMH2tNBoGh45U3c9aXTqmxo4NtjPjJIp3NA 8941
metpy/plots/cartopy_utils.py sha256=EAU67RQb1MPreI8wtON29JLZCgCYKqRJNmyIjLMiuqA 1954
metpy/plots/ctables.py sha256=INmcNQMSJz6uzA8bHj8ASgWlqn7Z7SWWGXpbifI2RYY 9438
metpy/plots/declarative.py sha256=KFp4emQHwEZMbR_LpxX9sxroHyX37Io3htt09PLkkH0 55149
metpy/plots/mapping.py sha256=xmKtqQjeDAiGwJjh_ILCr0tci_tXT04el4TOA9Mm3x0 6618
metpy/plots/skewt.py sha256=Ib0_-XAJDIuTUOyOxLpKvBnnQN4snsOdHdLjkha6Nl8 36049
metpy/plots/station_plot.py sha256=HwRMQEwNaoZmtoIlHA2P5QZJh5x0i26QneRCi2rWGv4 26706
metpy/plots/wx_symbols.py sha256=_PLgiAybkoqQjLl5gJKFydAkjbRoYjMKAS-87CWmM_c 9774
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/viridis.tbl sha256=vvhPOlxBORwf1Qb-l7OiCGDNF2Nn_0OveKNy-qwuRR0 10385
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-0.12.2.dist-info/LICENSE sha256=b6YeiN-Nn23kRjqGG6sM72zdcFDGB-5X4ly8g8-UQQ0 1521
MetPy-0.12.2.dist-info/METADATA sha256=Tmz5RRKAoA1mCs9Xps8UcJ9p-TK1FOG2pcM9b9ytxZ8 8553
MetPy-0.12.2.dist-info/WHEEL sha256=g4nMs7d-Xl9-xC9XovUrsDHGXt-FT0E17Yqo92DEfvY 92
MetPy-0.12.2.dist-info/top_level.txt sha256=686q1gneCnHzkbOjGTzUqLT6Lc6P0wEBwpjhhS_IXdQ 6
MetPy-0.12.2.dist-info/zip-safe sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
MetPy-0.12.2.dist-info/RECORD

top_level.txt

metpy

zip-safe