Result for 96A9AFDD62C6EEB10D5FA58591F3DD49ADC2D815

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Children (329)

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Key Value
FileSize30939632
MD515928366750556B98183CF58A1B84AE5
PackageDescriptionmatplotlib toolkit to plot on map projections (documentation) The matplotlib basemap toolkit is a library for plotting 2D data on maps in Python. It is similar in functionality to the matlab mapping toolbox, the IDL mapping facilities, GrADS, or the Generic Mapping Tools. PyNGL and CDAT are other libraries that provide similar capabilities in Python. . Basemap does not do any plotting on its own, but provides the facilities to transform coordinates to one of 23 different map projections (using the PROJ.4 C library). Matplotlib is then used to plot contours, images, vectors, lines or points in the transformed coordinates. Shoreline, river and political boundary datasets (from Generic Mapping Tools) are provided, along with methods for plotting them. The GEOS library is used internally to clip the coastline and political boundary features to the desired map projection region. . Basemap provides facilities for reading data in netCDF and Shapefile formats, as well as directly over http using OPeNDAP. This functionality is provided through the PyDAP client, and a Python interface to the Shapefile C library. . Basemap is geared toward the needs of earth scientists, particular oceanographers and meteorologists. The author originally wrote Basemap to help in his research (climate and weather forecasting), since at the time CDAT was the only other tool in Python for plotting data on map projections. Over the years, the capabilities of Basemap have evolved as scientists in other disciplines (such as biology, geology and geophysics) requested and contributed new features. . This package contains documentation and examples for python-mpltoolkits.basemap
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-mpltoolkits.basemap-doc
PackageSectiondoc
PackageVersion1.0.7+dfsg-3build2
SHA-196A9AFDD62C6EEB10D5FA58591F3DD49ADC2D815
SHA-256F4CA08B5A26EE85DD955D537885144AFC104026A3D5B371743FE872B3F84D724
hashlookup:children-total329
hashlookup:trust50

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Children (Total: 329)

The searched file hash includes 329 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap-doc/examples/setwh.py
FileSize1002
MD52EAB642955BB08D8773838C4B8EA8987
RDS:package_id182052
SHA-1015177482784C4B8DD7148A11DA07B8222175124
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SSDEEP24:GQ9UQvb+KWJo/rQCKNvz4KKJWwx2W3HUNS8lgoHGAxo:H9UwWqzLUr4K3gHUNS8SoH7o
TLSHT1AB112107E1657768F786406BA466A05935F0EC9757020C29315D75D11F81C3E7B22F34
insert-timestamp1679425793.70977
sourceRDS.db
Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap-doc/html/_images/kav7.png
FileSize105045
MD5E0C171512052F96BA33E40F97520B315
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SHA-256D136FD9A539DDA28F4DFAF7F2A89968ADCF26FA44F437EA4FEE4FD6FDB7751DB
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Key Value
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Key Value
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Key Value
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Key Value
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Key Value
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SHA-106D6590C1DB8E3DBF36A67EDD1B2B21051E1D45B
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insert-timestamp1679425793.7725997
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Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap-doc/html/_images/gnomon.png
FileSize122818
MD5CE0107EAE255C8837FF4F17575561548
SHA-107825120255C114232108F07673D0A23131DD892
SHA-2560082BE277A2B5C28670A797E208D6608240A8D3483E798665F16F4DC6E686176
SSDEEP3072:NNDCpuGl2pduTd2UC86n3XsGqOSgscO/7eVOANG:4uGl4sTd2nn3XsGVSgzO/p
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Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap-doc/html/users/figures/hammer.py
FileSize513
MD5A03A6B5BC135B85FAC46B2DF58DB16B8
RDS:package_id182052
SHA-107DB133753719CCD79921022F0D526152DDCC61C
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insert-timestamp1679425795.526857
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