Result for 6EFA46E81A6166DADA14781824459904D103E5A5

Query result

Key Value
FileSize293098
MD5E0FB257A720BCC6BCED4581A8BE30682
PackageDescriptionmatplotlib toolkit to plot on map projections 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 polticial 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-mpltoolkits.basemap
PackageSectionpython
PackageVersion1.0.5+dfsg-1
SHA-16EFA46E81A6166DADA14781824459904D103E5A5
SHA-256B1F743B305FC85F4D4E97302670F20CADAC2371E61F90A78016B75078F7C31AA
hashlookup:children-total24
hashlookup:trust50

Network graph view

Children (Total: 24)

The searched file hash includes 24 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib64/python2.7/site-packages/pyproj/geodesiccapability.py
FileSize1133
MD501FC45A5DFFCA8080D9ED81D4693B627
SHA-1012D7C151B998368F6B7791DFE41F2A46881EC80
SHA-256EA5EDB7B7DB835CE93A77BF43381A3F8ADEB2EC63578995C612FA7E8B7614161
SSDEEP24:Dtz13S3aXluDsaVZHF8A2q3n8S+CYtUhNJUX5XZ/:5ZXXlpQZnmbyfiX5XZ/
TLSHT18C21ABC3B94426396723F3521CD7325F298486406E4F78B7B4EC02C89F140E1A3A778A
Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap/README.gz
FileSize2113
MD5563A88CEF7E0B73378E814808EA57368
SHA-10B2DE6FA478A30E2232199A234E735B5193D5031
SHA-2564E23BF569C0F4BE27A4CFF1E66BA7C282BA9E815A24AF3585C80C29867657105
SSDEEP48:X06ry05mH4yAAlnES0HMecNWz4VrbUI+SGLqdhvXvw4+u:k6u05mH7/EBH5uW4VrFwqdJvwPu
TLSHT190411C1380B680FFC2702AAB22E6857741B150DDB1646852BF849D0E04FE12AE135DD0
Key Value
FileName./usr/share/pyshared/mpl_toolkits/basemap/__init__.py
FileSize228501
MD50D00C18BFFA00935496C3C6847694F40
SHA-110E4B16B2F98C62145E719BB75B92EF0A68F131A
SHA-25603EC2D6F5ED31C799699D335FDD4A0D239D328FC83EE9A91EC3CE9D8D5A3C8BC
SSDEEP1536:5yMxUfuSCujHBWGtwkK3IpFjQcAoTBrNNt+oFecbtCerpRL2w8eOyJwB+nNpkWFE:5yuRujHltwVONtJOBesnQDba
TLSHT19724E919EB246675D343886E09ABE4032329A61737156A387D7DC1482F50B3CA3F9FED
Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap/FAQ
FileSize1891
MD509FDD372065269711E0C3A13EF1B1EE1
RDS:package_id182052
SHA-111323E74421161F8111C27987FF11FA871EC26C8
SHA-2565E8E43B9A18D170CC3B0BFFDD62D93440F6FAA2B9EDB5770848A34EB949B8E7F
SSDEEP48:S//1KMTdG1sHSGTLvIxGrj/iXWxrSGWIGdsXabv2H3EKX4ryzyejrrF:SFx755xrM7beH3nXkMfr5
TLSHT1C341210FFB18133966558297137EA5D2B732E22953610EA4193CC1E4132BE7572BF3E9
insert-timestamp1679424906.5586812
sourceRDS.db
Key Value
FileName./usr/share/pyshared/mpl_toolkits/basemap/proj.py
FileSize17292
MD524AC5E43FD49EA13FF9B4CFF1B398A0E
SHA-11DE355D018F735F88EE101D35C0A1A6C6064F5B9
SHA-256275D8C2696E4199C887EC037119C01685DE24BE902DD48EC00C12575DC09927D
SSDEEP192:/+zEfDEZidKPwQT6Lp6p+7fuMXt09CafEIN3My:/+zgDEU6u+9C23My
TLSHT137723D12EC207670D29BC87745A3FC0327AA62176B0824B8357D84675FA5E74D2E4FFA
Key Value
FileName./usr/lib/pyshared/python2.7/_geoslib_d.so
FileSize77372
MD5A9BC94BFB235AE4069DE5730F2234C8A
SHA-125F091743012228B98FFFE2887886199A857893A
SHA-256F7BA655107BC3BD2776C6ED47A4A187A19FE376A2EA1A41FC2C5346B3CC2BA57
SSDEEP1536:d6B9B53N/q9f1xH00dSNbZiqsFZZfD8dNuh6XAOohoCcYBpS0U0yJygrzBOLKtBL:d6B9B53N/q9f1u0dSNbZiqsFZZfD8dNl
TLSHT1C573EE27D80B056FF9ED1AB956792AF5914FAF83502F5151903B4B1E0203FB04B2ADEE
Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap/copyright
FileSize3846
MD532A5FEAC01B29509880FA3FB6860ED93
SHA-12A73F25A1FDFBB7460928D5CD1170AB5B4CC7DFE
SHA-25696EEC00E7C31A979DB248EEEE13E98EE5750300A2D0C1231BDC38C0F91DC7A64
SSDEEP96:YdqWFHfTeJXSSUsvsCSQHlvoXIhyC1ppIg9nD:HG/T8XSSUsfSQHVu+lV
TLSHT15D8163CAA23C57B635DB73F7A4D6DD9CB6257198B2436E82600CF38C1A1340DB4AF0A5
Key Value
FileName./usr/lib/python3/dist-packages/mpl_toolkits/basemap/test.py
FileSize4227
MD5E5D16D8AB895064D665F591556FA383A
RDS:package_id182052
SHA-13A8E9F6CE697860AA1C3D3BB02538ECE1AED3DF7
SHA-25645F0CEABCEB1DFCFAE62A1D3DD1407B52CBEA8EBE910FF301253AFC541964DAE
SSDEEP96:YVZOyXq9M/UAXXCjVABoRdK8QIchcgNhcv7mPvcEDJ:YVB/ZTeyPZDJ
TLSHT1A7911B05624BBAA06B47D2B608DB8D528A31F50B163C1EC571BE2F41DF4C23DB5FB2A5
insert-timestamp1679424906.5705745
sourceRDS.db
Key Value
FileName./usr/lib/pyshared/python2.7/mpl_toolkits/basemap/_proj_d.so
FileSize482380
MD5BEA6080DC8B022E6F7930F92A5C81B14
SHA-145C1D4BCD2684133B28E0809B8A6B6C5A3F4A9FD
SHA-256F54F8E392CFF0A77C71D1A3749B429262170C9C9FEDF82A3758618BFD5A42BCA
SSDEEP12288:XfrHcKVyjUzDZ68kpydj5mmQhhj0/GXcLT4e/Hj8XOQ8hXL7PjB:vQK0jUzDZ687dVmmQhhj0/GsLT4e/D8a
TLSHT15DA4D617F24F4046E0C55EF932BAEAF9405F99212DABA189A13B7F9C3F7397060441B9
Key Value
FileName./usr/lib64/python2.7/site-packages/pyproj/accumulator.py
FileSize3161
MD5BFA00C6AE716899EA047F0F9EE5C14B8
SHA-14BF6B18094078B1A4BBC4141AA2645288C99A1EB
SHA-2563F10B7A9526BD4708F7EB4CD20F1408A1529973E97CA03633D4754DF38B7E152
SSDEEP96:tVIFla+8EqXiLZomXjhANlJvBaxipXSX4vXw0c9T2fKoT:tV6aZsomzhARzU9l9Ta5T
TLSHT18D5182A759241A3DD72B82361907655317094A6B2EDF782CB1FCE2A12F1287083A5EF4