Key | Value |
---|---|
FileSize | 883304 |
MD5 | 1F52D32D566B322E7FD74CBC5ED19C49 |
PackageDescription | Python3 tools for geographic data GeoPandas is a project to add support for geographic data to pandas objects. It currently implements `GeoSeries` and `GeoDataFrame` types which are subclasses of `pandas.Series` and `pandas.DataFrame` respectively. GeoPandas objects can act on shapely geometry objects and perform geometric operations. . GeoPandas geometry operations are cartesian. The coordinate reference system (crs) can be stored as an attribute on an object, and is automatically set when loading from a file. Objects may be transformed to new coordinate systems with the `to_crs()` method. There is currently no enforcement of like coordinates for operations, but that may change in the future. . This package contains the Python 3 version of the library. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-geopandas |
PackageSection | python |
PackageVersion | 0.8.1-1 |
SHA-1 | 9DB250F69BB78A0610A63F3D86B57D617BEF3B4B |
SHA-256 | 3869F8F311EDF99774E0987FD7EDB24DBF2DBE4E931A8C95BEE26030826DF671 |
hashlookup:children-total | 66 |
hashlookup:trust | 50 |
The searched file hash includes 66 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/tools/tests/test_clip.py |
FileSize | 13758 |
MD5 | F042F5741AC84A8B753B7AA612780533 |
SHA-1 | 0292272A8FF6F1381473508D3A57152570019285 |
SHA-256 | 383D6B45A0042913EAABE7024570D6D9DE74A324294ECA8402DCA8A8B7844CCE |
SSDEEP | 384:ClRrjAHEA1OQAPB3QqK+u6AyAduAQyKAdhBqdGYP0PhOPpv:ClRrjAkA1OQAPB3QqKL6AyA8AQyKAdh0 |
TLSH | T1AC528403F4125E5CCF83A4B964D714C97B2BA97B364C05F17CFA866E8F090A886B1B5D |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/tools/util.py |
FileSize | 1454 |
MD5 | 7898C9D4A2A920A5AB1C3487643839D7 |
SHA-1 | 0A26E79D075AF798B21E14422A5718831B96A59B |
SHA-256 | 6109B461E38466DF1F875F5B051352E7E2D22186310A9DA6CEA702E1B50E3D2B |
SHA-512 | F8F83C4E6B6A98EDDA803E9DEF446C3B9322D5D6ACDC9A0CF8F4DF9E498B6C2DD1A493B0C1F4605937006D9A1A6847DAC80CB2A1E17B9F2F52C82F13A9D35440 |
SSDEEP | 24:2DO3vTovQJbmIM3uF3XvlPXCDD4QoGUi2c1n1ejQL51vjMmoKgNr+7XmNSFQFeuG:2CkI8z+ZvxOD4TG52c11eMLvjHodSm0F |
TLSH | T1C1310F02ED16532CC5E2B22509B20A82FB1CEC533FC0ED55B8AC5530AF57431177939C |
insert-timestamp | 1649318745.9873939 |
mimetype | text/x-python |
source | snap:ITIyQlDbrh8WWykXtoj4KitfjFLGCcPN_3 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/tests/test_types.py |
FileSize | 2504 |
MD5 | 59A15013B7656FA89D5AF9232D14F02E |
SHA-1 | 0A40EE3FB52F3C9D673ED888BE0C7A9E1769DC8A |
SHA-256 | 0C7656F1B45BB788F66E3B1654E8AB719556B0ABA7552BF6D945B8765B198DA3 |
SHA-512 | 5600496AC7EB8654A1BD844ED0AC2BE8A229805FF4AD4C1D1ED4FB0F1DC25F941F08CDB5B94DD5F366F5523FC39E372C488D539520ABEAF51D257DF61717C650 |
SSDEEP | 24:1eN+bSrqxtO5EOfMY79bsPK6SsC6Sso6BJsEK6fsSE6csc6hst6ose6Bojsv6ksI:4rrP5RR9Y7oyE7XFDmscyGejLdU |
TLSH | T1C351B7886522CCA8D54376BD8CA6C497560FEEA70F8C5C94B1FC41769F29224D39EE70 |
insert-timestamp | 1649318745.9056282 |
mimetype | text/x-python |
source | snap:ITIyQlDbrh8WWykXtoj4KitfjFLGCcPN_3 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/_config.py |
FileSize | 4083 |
MD5 | 62F947B697CE0E7CBBCB55081AC19618 |
SHA-1 | 0FAD34F7D5F3164776D4C92B367A80EFF9AD0704 |
SHA-256 | FBE790993CC68EE14B1022E8F2E24187A97609EB44D706A82F691399088BD05E |
SHA-512 | 109CE7E4F39C71FAFD05B20A872D13FFDF393AFAE9CFC3617E48353843490FFEBC6686559FE8673F87441D2729274748394B0CC27FA50CC5C61AB782FA79A336 |
SSDEEP | 96:6MKESD+JAfDx9FvNf4H/f3KF3iEMDVu9Gh13Z/M4ZnmkSGjXZY:6YSD+yDx9FvNfy33K9iJBu4f3ZfwKXZY |
TLSH | T161816733E506AB62CA8B98A75DD29042A7385F4B250475BEF4FCC2C01F08961D2FB79C |
insert-timestamp | 1649318745.689512 |
mimetype | text/plain |
source | snap:ITIyQlDbrh8WWykXtoj4KitfjFLGCcPN_3 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/tools/clip.py |
FileSize | 8129 |
MD5 | 472213D70FBB517E6FA7519EE7FE9166 |
SHA-1 | 122EEE382B11468BF9C9E0B116C16BA083556792 |
SHA-256 | 6F1D6F1FAEB74D1907A3B3DF63D1AFF24F3A1F97F6094AA1FA8E969FF99BCADA |
SSDEEP | 192:sso5v5DWKNNm5f9mE4n7oeT756VlXlOQICtA:KhNAfHq7jM5A |
TLSH | T188F142451861E96CC6D3E9E08DEB80C5AA15783F2DC80CB139ED422D9F06D26DAB976C |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/sindex.py |
FileSize | 18590 |
MD5 | 4D131A0E637596A41482CD9BA9A5DEDE |
SHA-1 | 16D1EA4608B5E9E18B922836AB35EB153BB22CDF |
SHA-256 | 9B24B3D4C7E967A3B0AB4181E63F7F7F32B9CE9770025B0E40A93764E0BF3BDA |
SSDEEP | 384:AMLZ8xL7G4v8p42upXAjVAGqOSy/aOIGTnQGcw0ZgvLQqA:AS8xpv8e2mXAjM0hww0ZIdA |
TLSH | T13E823121FD025A2DD163DC7998EA94D3FF0E4C2766881C1878DC527A6F9283442FEBE4 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/geodataframe.py |
FileSize | 43017 |
MD5 | 7A0362E1FF7FDD38840C2768038193A1 |
SHA-1 | 193A214A0386EC8701D8129A27C5A889A13C5B05 |
SHA-256 | 30A80F9D14E7A502539DBC76F1E95B741C7C58A06C1530B5F9AE937B4A3E60BB |
SSDEEP | 384:WOkpA1lRCAHwTGMNZuqB+hJDoUh7V57flj8Cstz3zMyDFfMlnitLVIdGyq:kAtCATlDoS5+Vz3FfMlRUL |
TLSH | T1F0136307BD155A68C293A87144FAD0C3FF16BC2B2D5414A478ECC36A6F45938A2BD7EC |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/datasets/naturalearth_creation.py |
FileSize | 736 |
MD5 | 46BA08B375F422D036E52C331E840BFC |
SHA-1 | 1E3AB64DDE2A5CEBC00C1B4776E08C60AFB6166E |
SHA-256 | 5EA0B343C6A2D5627EA8FB5B963EE485B192AD3A58348B23E65BFA8A38F90C8A |
SHA-512 | 78CF5E4B4B1CA366EB9F9BF2CA8EE1FC7814CB21757EACF510183273343DF7876E82194F1D0FB8B32E84669445D474AECBEC5DB151A4CA3FE3FE46714BC04F76 |
SSDEEP | 12:Oooe2ior8h5OxrClNcg/WsuFdWJ01lTSrCmDcWG2dP/hb7DZEJYCEJYjM5qqr8nS:OpezorJrSNcsUFFl+r7a25x/yYCgYw1P |
TLSH | T16F01601F4BB5BE2F4233A8384D998504AE2470792B85CE82B0C8514CB87CC3E35D30AA |
insert-timestamp | 1649318746.0874429 |
mimetype | text/plain |
source | snap:ITIyQlDbrh8WWykXtoj4KitfjFLGCcPN_3 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/tests/test_pandas_methods.py |
FileSize | 15381 |
MD5 | E18C3B00E467C082D235DFE6F640BF17 |
SHA-1 | 1E92170DA524F85ACF1B6BF22B586BC63FF74DFD |
SHA-256 | A47B9C0981616C5AED45D274F11D03017556091A74283765E9BE95BF62805717 |
SSDEEP | 384:bJuOO/YjfJMrEXmKu5f9+Q1Vd+6IsbNx4BAto4Uvl7y:b8OMYjfJMrEXmKuV9+Q1VdjIsbNx4BAp |
TLSH | T10E626185D9121C6DCB47753E48AA594B5E0B6E5729C068E470ECC1A32F0C63CE7AB7BC |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/datasets/naturalearth_cities/naturalearth_cities.shx |
FileSize | 1716 |
MD5 | 94E5BC5CAB16C3D1B6E9DDC20341A8B9 |
SHA-1 | 2823782CD18056D8F88258709A6314FB9129073B |
SHA-256 | A59940E913714352350C9DE636E45488A944D51AD1D851020BBDB18BB9F23299 |
SHA-512 | 02A3FFE371F2E5393843393D871A224B966C3FB0B0F18976B7B519A3FCC8A02344C7D11C20E72C3DE3262F86F4FB28308F80E9197AD767A5AF4DDF5F30FE92E3 |
SSDEEP | 12:XPPL9HaVvf1/1PFWOc18QVo/c/830fqQ1SaFUi1EAVNX3XcI16y1:Xb9Qvf1/VF/Hf30fF1SaFUi1nV1 |
TLSH | T1F831882BCB22E03DCCA741B0D9CD16A7BB316891611C72828ACD75351DD3AD9BDD4AF8 |
insert-timestamp | 1649318746.1463935 |
mimetype | application/octet-stream |
source | snap:ITIyQlDbrh8WWykXtoj4KitfjFLGCcPN_3 |