Key | Value |
---|---|
FileSize | 149398 |
MD5 | 6850C1E1BEBEE63B3A8C34653BCAC823 |
PackageDescription | Python 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 2 version of the library. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python-geopandas |
PackageSection | python |
PackageVersion | 0.2.1-3 |
SHA-1 | A52BDC6A04D04FEF05BE058715761BAC8453FC64 |
SHA-256 | 0E1173288A228FA348E905B8B7F01C5134D9423AB480EDE1243035FB2AF1943C |
hashlookup:children-total | 29 |
hashlookup:trust | 50 |
The searched file hash includes 29 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-geopandas/copyright |
FileSize | 9976 |
MD5 | 784BDF742F97838EAC46ACA462B212AB |
SHA-1 | 0201644A98074241D30036E98C7C64AB259EC42B |
SHA-256 | 20514F9CC597A7597426DA00286A102EF1A52E872C4073FF82A98DF8FBD33FED |
SSDEEP | 192:9++H+TOrXiBRJ7t3i23hU505MTTRu4k9hqfxmIsao4XiVlR0kNucWz/XraL:9++H+SrSBHVZhrATAbqfECizibc |
TLSH | T1CC22D7ABA30813361AD21397651655C0F77AA02D3727489034BC429C2F5FA7A923F7BF |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/io/file.py |
FileSize | 3288 |
MD5 | 55FAC741A2263C3C66FB7E71F575FB96 |
SHA-1 | 05454A71B194D92DFA4B5382F6D324C1956A75F3 |
SHA-256 | 53B4B0C797FF9D94E7956A7B5C0A532DCE71D5CC3866D9677ED5F4AE6A6412FE |
SSDEEP | 96:GiJ3iTscUm/3z/3SfJglTIRfxL2hfBcaZ:D3iQ3a3jSBgl2fx6hZbZ |
TLSH | T171617203AC816919C381FD694A8BD0A5F714F96F1D5A06E43BEC9338EF4162A98F5388 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/__init__.py |
FileSize | 513 |
MD5 | 6EDC4156CEF19547AE05CD2252D4C8EF |
SHA-1 | 10912C2A28D0A7567F897FE5F8262C26868A5BBD |
SHA-256 | 3B7856AD651733BBAD674E3DD17A16546C718AA5E76FE6617BE34DB6FA43C0B6 |
SSDEEP | 12:1qttD0tPBc48V3uQnQKwkFN9WuOigyODyNCwYs46wn:1CtwZl6euj1FN93OZyOWCwhbwn |
TLSH | T184F0EC1FD533AA3202A8D6D98046B021DBB219282EC0AA83686113B2838F7942D880BD |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/io/sql.py |
FileSize | 1304 |
MD5 | 76B16354C171DEED36916A77EE15396B |
SHA-1 | 1B9B505B10050C8E8B7B1882D8A87941D472A7E9 |
SHA-256 | 02A5B2CC473879DFF92849D168C95C62FC7E0396BB80F6D445E087502E38099F |
SSDEEP | 24:swCqqqEBBtqpMeCDYo60F6i7T37ulcjOvi1dtAyoFNn6IxJ7sKC:XHq7qpMf0oNFvTClwOwj0DxI |
TLSH | T11A215403DD2857A193C7F84088FA80C1F91BA67B3D801CA2BCACD3264F1D564F9AE2D4 |
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 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/plotting.py |
FileSize | 13216 |
MD5 | C54801CA627F3F4775D0E8D33049A404 |
SHA-1 | 29A993D6A16607672DA004C0FF1B22059823A740 |
SHA-256 | D9EA3F41A9FB75E1BDD242308E7C71FD44D575EC8D5952A52E25BF806E16390C |
SSDEEP | 192:5bA+Cb6+gAAAwbuVmoG0P0fwWTLpnBrLBZVmoR1/b5qEjzLM/Ir62aDI+:5bARb6+gA5YuVVfA5ZVVR1jUIed |
TLSH | T16A522E27EE1502A6C74354AC69FAD485B76078272F606FFC7E9D82050F0693D86B8BDC |
Key | Value |
---|---|
FileName | ./usr/share/vtkdata/.ExternalData/SHA512/1a30c4f8133cad67887184452f56664d331cab66384416b58f34e10e49965f769d2e05ffecd246be12087d679c9fe701ee109b2aa6216d16f2ce649af9a9c00e |
FileSize | 179828 |
MD5 | A099ABB0233818CA44B72E334ADBCAC1 |
RDS:package_id | 278377 |
SHA-1 | 29ABD5DB0901DD31A7E53A2BA2F3032F5DA1EF06 |
SHA-256 | 2AEBDD66FDE53694D536590DA15DEF874CCEB91E0BF6151BBA7BAE72F60949AB |
SSDEEP | 3072:HRS/qnF5aXVrtEPV0G1lwn2ypGs+eJj+LsImL2rjqHBS+Rk5Um3K/b:HRS/qnF5a80Gzwnb77sLp+BS+Rkyx/b |
TLSH | T18B0412CBDE82ADDDD51A9031083B1864B00B73F8A9910B817EBA99354F47CD6EFE10E5 |
insert-timestamp | 1655078339.7802289 |
source | ios.db |
Key | Value |
---|---|
CRC32 | 6A51C1E3 |
FileName | ./usr/lib/django16/django/contrib/gis/tests/data/cities/cities.prj |
FileSize | 143 |
MD5 | E729936BF5360B37A15365FC295A1901 |
OpSystemCode | 362 |
ProductCode | 238250 |
RDS:package_id | 305243 |
SHA-1 | 308D6355BE935E0F7853161B1ADDA5BCD48188FF |
SHA-256 | 98AAF3D1C0ECADF1A424A4536DE261C3DAF4E373697CB86C40C43B989DAF52EB |
SHA-512 | 1AC6D6E3234D2C22D306F6803DCED1A25CE751091EC331C9ADF336CC36118BDAF34650071866756F24546D6D548CD5AED18294F86341BA769F3AE7051417B0A7 |
SSDEEP | 3:elPcPlWwA5s8Ww0uEcdPlr19fTpvURn4:FPl5/7uEcddr19fTh |
SpecialCode | |
TLSH | T172C02BF8308524F3B00C042CF3466113804FC98120034CC340810CB721B6F4DAE39C13 |
db | nsrl_android |
insert-timestamp | 1703173287.5605254 |
mimetype | text/plain |
nsrl-sha256 | rds241-sha256.zip |
source | db.sqlite |
tar:gname | wheel |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/tools/__init__.py |
FileSize | 264 |
MD5 | D6A63B7905548E34CE3ACD4775EBB988 |
SHA-1 | 3AFD3DE40DFF3CA4FAC82998CE8C2A0FA7289B53 |
SHA-256 | F27560770A045927A4695943C299E1B09E90DA6888F220DC3EC31E12A1F558C2 |
SSDEEP | 6:1RMABCRz1ZvXBNIBAZAmGdi36+LNsNLCxbMRvNSIXV8QlA8Q9jT:1RjCFvXBNIBA+2K+ZfQRB8r82 |
TLSH | T1BAD05E3EE423272E80B9FC83014F15BC833A12520F1058593D6C53394FC9D5DCB708A5 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/geopandas/geodataframe.py |
FileSize | 17834 |
MD5 | 8CCF5B3D70B4027713A136D59EF5CD8C |
SHA-1 | 407866A48990F83D6E5E9CF05C576210FAFC8A3E |
SHA-256 | 13380A6540C574881842443BAA90B3EF294C94C231C776AC0E264DEDAEBCDACA |
SSDEEP | 192:SUoyoyakoo7sX1FG89bz3UUc2mlVu5NejSfl7ZOr9zVSw25qGK5xV:SXlkW84Lyed7q2DM |
TLSH | T1A1828317BD166968C393E87544F6D087FE017C2B6D8814A038ECD36A2F96439A1BD7EC |