Result for 0C727EDDB01B678C0C8798F0340445DCA480B5F2

Query result

Key Value
FileSize32239536
MD561A038C1C22BC87A56E710CA4EC4DE29
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
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython-mpltoolkits.basemap-doc
PackageSectiondoc
PackageVersion1.2.0+dfsg-1
SHA-10C727EDDB01B678C0C8798F0340445DCA480B5F2
SHA-2561CFC2C7FDE9F153763697DD87B3D341A08A315575874457927561F94AD4E1E79
hashlookup:children-total333
hashlookup:trust50

Network graph view

Children (Total: 333)

The searched file hash includes 333 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap-doc/html/users/eck4.html
FileSize8097
MD5BB15FDE485E2267EB501EED59EBB28D4
SHA-100B986DE7AFBFE67BBE2B097E5FF2F00C7819E80
SHA-256AD88FFFCB11ABBCD73E8796CA053C4805F62FF77E36292CEA84861A244DBC8B0
SSDEEP96:LWiDmbxxSacz89YBvNJLxbG8+2db2QqJWEvCplLaEq+NJv:aS7z89YB1JLxK8+2db2Q6vGdq+/v
TLSHT129F1A890A8F69437417786D756FE5B35B0E2852BE1421804B2FC937C0BDDE48BE07A6E
Key Value
CRC322994D00B
FileName./usr/share/doc/libjansson-dev/html/_static/basic.css
FileSize10716
MD515D1E868D422EE4310EA0F7C9673E511
OpSystemCode362
ProductCode202888
RDS:package_id263918
SHA-10301E1C6EB69EFC045769357C0CE71F113BD0905
SHA-256B61FC4383784CA3FF8589A1BB48D19D06FDDC78D6120CBC9AD31F275F62F4CCE
SHA-512A8271A032D4B3A072799C09225AF1CE092FF548866E82654608FB6D1B4DFF7611B1EFAF79952DE5352AFA2E6DB7EDF29855574584DE9736439A6AFB32D0736F5
SSDEEP192:MfhSd4okIES4yJk+KdD4FA1jraTQtZvErKR1jWRZ4Enx+ociFaao2wBWApJEtULe:rd4okIES4yJk+ED4FAZrcQtZvErWWZ4o
SpecialCode
TLSHT1412251155EF31C22E98AC667BAFDD661F25D00530E4EC87D7E582358CF4579881AEB0C
dbnsrl_modern_rds
insert-timestamp1659221326.3719895
mimetypetext/plain
sourcesnap:frGDfj3qOH3kiCeCe7L0ImjFLxK6uBtw_4
tar:gnamebin
tar:unameroot
Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap-doc/html/users/sinu.html
FileSize8221
MD59B090C2B46C9B6B0C1EB0EFCECADAEEA
SHA-1033B40C53847E8FB79C88E34C051D781A9947CD3
SHA-256288AE7FA5DB5596FA3CB5BC684D824D1144DCFD1464EF7CB23DEB24724179E5A
SSDEEP96:lWiDmbI0HSacz+9YBvNJLxbG8+2ub2KqDWEvCplLaERJNJ1:M67z+9YB1JLxK8+2ub2K4vGdz/1
TLSHT12E02B990A8F69037417386D756FE2B35B4E2842BE1421904B6FCA3BC07DDE447E07A6E
Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap-doc/examples/plotsst.py
FileSize1838
MD5D0180CE88CB7068D9BA6A1B171BE5E77
SHA-103D0DF117F387543ED646A3059B48B725BC7185B
SHA-2563A9136149412835431442D3792B22D2A100C4B4DC36E39266A7C34A49307B903
SSDEEP48:PqePxtlpp7zycMCNnwG1ibGhkRVGuyjixfGC6YCwxVv/G:3p3rMCNnwTJTqkrD+
TLSHT16031B70AF7352B6936C1A1B9F06D56F0CF3152112722ACBC9884827A06870797B3F777
Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap-doc/examples/camx.sample.nc.gz
FileSize17844
MD533F794CC093E5AC02C78FFE0C6089E9B
SHA-104373AE36E5BDB2F3623B795ED3BA98865E62FD5
SHA-2562CE6863C7EA4BAB083603AF8304EE70D3641CBBE89DE1FE505476BA7DE5EAD4F
SSDEEP384:SfKINugX1iWcde0F4spYjskzpXn+0TZ6rqUKPs9toRvFMHdH1sYAJLge:gNb1LhapJinfTCKU9q9U11vAme
TLSHT1C182D02CDEBBC32C1996346E050701F19A88EEABF39C6214F03D7F182CD35D8C560A2A
Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap-doc/html/users/figures/plotsst.py
FileSize1770
MD547C6FA6E3EA5450E3F37F54B1CA4AAB6
RDS:package_id182052
SHA-104F0ABF5E4FEB45E18A7BDDAC93B0CBDF7241FB2
SHA-256003D306BA929C919772DF62EC927CA19EC019E2E3EA2B8BE0CBADAB277A3567D
SSDEEP48:OPxtlpp7zycMCNnwG1ibGhkRVGuyjixfGC6YCwxVv/G:yp3rMCNnwTJTqkrD+
TLSHT1F531A70AF7352A6936C161B9F06D56F0CF3152112722ECBC5845827A06860797B3F377
insert-timestamp1679425795.3564205
sourceRDS.db
Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap-doc/html/users/cea.html
FileSize8655
MD5D69CA593EA61CB9CB7C2488E51DF3BC7
SHA-1056813E3755259F19B9DD28CF7C8F3119A319CD3
SHA-256EDCDFE5950DE64C3887AE43B1C2620638729382825CF62BC7619D5D9D8C9A999
SSDEEP192:StBSNzIo08aYB1JLxK8x28kb2FmvGdkV/7:OBSN06m7
TLSHT1BD028691E8F69037417386D716FE2B35B0E2942AE1521904B2FC93BC07DDE587E07A6E
Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap-doc/examples/counties.py
FileSize714
MD5CACB503AC8134A241C358BACFDBB9BB9
SHA-1058926E4269DA8DA2D9940544065680AB00D7CBF
SHA-2562209564A9D5D887BC360060556493F8E1AF6DA1336724D928D861729C76D1852
SSDEEP12:1Rjsy5qWJZmR4jJH5UcfsLZFgFu8Sy6Wlgcck9vZpMZfJSvK2+UiEjfu3bFcYs5e:1RYVGmRQvGFe0ggNk9vZpmSiimriA
TLSHT14B011B1A8458970AAFCBC0F2686C8A3A983C8683D9152D8A305C02E01F656A832379EC
Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap-doc/html/users/figures/ortho_full.pdf.gz
FileSize537375
MD560A63532EB425ABCBA5205B9ECB8416F
SHA-1063B1A36170F066479F705D3B67F531EEDA72503
SHA-256933A02BEA8246E2E85543FEC72804A70B86F36C7427FFBABA737594C1B3C5D65
SSDEEP12288:q31uDlmaOwgiMoguYMpf8BTUC2PQ7JEeA3B:qsPUW98BTj/JEeAx
TLSHT190B4237172BB31D013664894FDA6AF14EC8BD28C49D1D64B49A618F05FFEBF60E0914E
Key Value
FileName./usr/share/doc/python-mpltoolkits.basemap-doc/html/users/figures/plotprecip.png
FileSize191112
MD5226C0C4EDAE29ED9B545D75998E0409F
SHA-106B6DC49641DF5A4E63278F2775863CF8D69686B
SHA-25692661B4E1422447B784E99CB0923085DF232F5893EE70C37ED5267B0DE68445A
SSDEEP3072:VHva+Dcms5RYmFaDKAdWqocFLtbglZq3xMoHIGEjZpV+G/Dmbhb:VPa+8StKeWqoeLtslw3x3jElp0q4
TLSHT13E1412CD92286E39DE9F70F9F55E282092A701053DB86DF04AF6B7E49615B017BD3E08