Key | Value |
---|---|
FileSize | 2615560 |
MD5 | 63C959B6861897EE7516902BFE1597BA |
PackageDescription | data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version. |
PackageMaintainer | NeuroDebian Team <team@neuro.debian.net> |
PackageName | python-pandas |
PackageSection | python |
PackageVersion | 0.19.2-5.1 |
SHA-1 | EC6A749B591597AE552564152BDAF96A2FB565A2 |
SHA-256 | 0D52FEA01643C50C4A8B39B0D8BEE8F142AA8B07A56AE661EFF71522D5BCDCE9 |
hashlookup:children-total | 592 |
hashlookup:trust | 50 |
The searched file hash includes 592 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
CRC32 | F214C562 |
FileName | snap-hashlookup-import/lib/python2.7/site-packages/pandas/io/tests/data/test1.csv |
FileSize | 570 |
MD5 | 6C642280222FD49AA1F768EEAE0787B4 |
OpSystemCode | 362 |
ProductCode | 183707 |
RDS:package_id | 184818 |
SHA-1 | 01274407059274E5FB3E6FCD760B9ADCC89E1748 |
SHA-256 | 7C1689CF24966ADBC688775E8C7550B606FD202A0EC0D20688CC2166C1300C6B |
SHA-512 | 527981EF68AB27FF786D02B64FA91417F6CD25A3579339927F0C414A48BBACD986EAC7E21252C2453760FF765DDED3D59EF1FFD417AD0F1BE795F95D8BBD41C4 |
SSDEEP | 12:9192JwPTp254ZV7NMVS6rWvHvhhdU5y1UrYW2KVo:918sN2587vQWHhhdUdEwW |
SpecialCode | |
TLSH | T107F02401877899E0F24B3168063A3F4A7534E55342CA88587C171ECAEDA3DBED841A23 |
db | nsrl_modern_rds |
insert-timestamp | 1728986591.5087252 |
mimetype | application/csv |
source | snap:KA2ytIzKeCnQbwAWbaeXnTc2zd5KaQI3_10 |
Key | Value |
---|---|
CRC32 | EAB18991 |
FileName | snap-hashlookup-import/lib/python2.7/site-packages/pandas/io/tests/data/banklist.csv |
FileSize | 41417 |
MD5 | 77AAE92DEC91185D340DE4F30C26B08E |
OpSystemCode | 362 |
ProductCode | 183707 |
RDS:package_id | 184818 |
SHA-1 | 01727DF1CB3703B11FFD77C963D25606A589F8F6 |
SHA-256 | B33F2443E72C52ED02C8F9BBD4969D69590373F75C1B0F3B07E3693127C48423 |
SHA-512 | FD19324703C80C725722F520D8494AEB27DE6DB245CF6AB0BB9494B9654E12FE1F005A305F5A869813CC62B2BE94A1484DF32DFF7AA64AA50D1DBFF9A90358B2 |
SSDEEP | 768:6ej4lfkJGePNAC/IolYlrUivuKRrQv9lEXpeqTbRHPX:6s49kJGePNJ5+lgi2KRrQv9lEZeqh/ |
SpecialCode | |
TLSH | T1C00383C27768064EEFC2E041F106F5AC95F6574B688A0C3A98E4F4F97217780F969B4B |
db | nsrl_modern_rds |
insert-timestamp | 1728986591.5050483 |
mimetype | application/csv |
source | snap:KA2ytIzKeCnQbwAWbaeXnTc2zd5KaQI3_10 |
Key | Value |
---|---|
FileName | ./usr/lib64/python2.7/site-packages/pandas/sparse/tests/test_libsparse.py |
FileSize | 21788 |
MD5 | 3A8B2CCE95B626C65C4FFE9B1A175838 |
SHA-1 | 02E807DD0E370CB1CAD0BB4365D066A1705A3A46 |
SHA-256 | E3DD77D13E3862718EC6854D289C5821F4BCC2426BEAF2E2D282A87FCF6DF83E |
SSDEEP | 384:4zF1IcnGk4c4Ba/UEOC5Dv2u2L2q8DsDZHVlsD8PZm1VK10zg8DpYt2D+vrqlo3J:4zF1Icnj4c4Ba/UEOC5DvxuH8DsDZHV1 |
TLSH | T12EA2E2634A120E646727D47A08DE1C5643AB4DA74E48540631FFEE046FDC928F2EF9ED |
Key | Value |
---|---|
CRC32 | 326F1FEA |
FileName | snap-hashlookup-import/lib/python2.7/site-packages/pandas/tseries/tests/data/dateoffset_0_15_2.pickle |
FileSize | 1176 |
MD5 | C6BE3E96E253903E4E155F49B27CF231 |
OpSystemCode | 362 |
ProductCode | 183707 |
RDS:package_id | 184818 |
SHA-1 | 038AEA5BC3B928B10C03D1C5D6B9AB5C4BCEEE42 |
SHA-256 | C6357C01DBBB35AA218C24C8F0C47BF05181AFB0848699E19FA79480BE62F07E |
SHA-512 | 485A307F70D7204655AD391DE5075B25E09A23D5F331B0B4928B79456B3610FF9916347682CBD414656F0010D60BA4396A61B6AB6C1FA64E64710054BBBF2705 |
SSDEEP | 24:wIdtOAiHIFIwx5E+dSNutsYt32dlPDJjkZtvPDJPth+fSs7/GXhxAcjMkIGv6VXV:wCvie1x3d+gj3WltoPvtVVXjMkhEMMd |
SpecialCode | |
TLSH | T12521C0048D66246345FC9B1D75F932941A7C2A555E25DDFC82AD01CC0C7F2DFA61B09D |
db | nsrl_modern_rds |
insert-timestamp | 1728986592.088527 |
mimetype | text/plain |
source | snap:KA2ytIzKeCnQbwAWbaeXnTc2zd5KaQI3_10 |
Key | Value |
---|---|
CRC32 | BEFF1792 |
FileName | snap-hashlookup-import/lib/python2.7/site-packages/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_x86_64_linux_2.7.8.pickle |
FileSize | 7639 |
MD5 | 1F20BE1B16E20A4BA520F2D43DBEF5E3 |
OpSystemCode | 362 |
ProductCode | 183707 |
RDS:package_id | 184818 |
SHA-1 | 03D5EFEC7C6C93DE341DF3D4024F51EDB4851A9D |
SHA-256 | 0B3F447B7AFEFD895AD79E0BD3B340A265E49DABEB56A031485AE73978BEEF65 |
SHA-512 | 0A3A0665491C0AAA985BED7270C9EABD70788B9CA41482B0F4C60B03B23C8B1FB80A33CA9B231B26C85CFAC9CB9A084818FEEAEC9F21CC9FEE81F4662219223E |
SSDEEP | 96:MMxf7hkEayQMq2g39FBA0F/S6qBYM/tFLvl9SKEp5+TkGtUR2Ya7ZTr2JN5W04v:MGFkEkBAYS2MVFh9ZO+IIAa9ONf4v |
SpecialCode | |
TLSH | T1DFF1FC96A77C2D0AD0206DB7B8BB04B772B37575590F8103D960E2617AE71809E69F3C |
db | nsrl_modern_rds |
insert-timestamp | 1728986591.6729057 |
mimetype | application/octet-stream |
source | snap:KA2ytIzKeCnQbwAWbaeXnTc2zd5KaQI3_10 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-pandas/changelog.Debian.gz |
FileSize | 6134 |
MD5 | AD09923B4B809840974A2EE2064C26C7 |
SHA-1 | 041A2EB11226C235A0AB5D81F1F63376E26A6C40 |
SHA-256 | 70FA99B6B2A340AEBCC8A062E360B276FB3CEC4F7DF8FA2F5A4158392B58BFC1 |
SSDEEP | 96:v9fSSNFnsoqy8K0Lw9LYFw8NfgWYPVnx9GPmZzSZNrDAa6obsL4YZPq7iD/F:LFsoqy8xw5Yu2fcn9GexGDAX+Q4Ypq74 |
TLSH | T1E8C18EF891446C0BFBEE57D0E08BBB512367434B6856C1D0A14F32779CE11AEF21AA26 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/pandas/tests/test_panel.py |
FileSize | 93726 |
MD5 | 31AE6DF60A21469AEC3EC7B4D0B1BB56 |
SHA-1 | 0481A39F7DC4D9532219C7214A8F6188746D4320 |
SHA-256 | 17E0679B02328483A970036FDEC6D44935C72458715F9DC1807F7404390DC7BC |
SSDEEP | 1536:Soifj25ykXER3sC44pl+L9hwRSARS5ReR4RvZnEw+ClIf0ygi86kdbi:zB50R3sC44pl+L9hwRSARS5ReR4RRn5O |
TLSH | T19C93314A2D8A89999343E1B958EF9C0B4E0E6D57840E15A47CFC80041F8953FB5BDFF9 |
Key | Value |
---|---|
FileName | ./usr/lib64/python2.7/site-packages/pandas/core/common.py |
FileSize | 15175 |
MD5 | 9BA4C06D18F326835956B12049D0F6C4 |
SHA-1 | 04B1B69E023AB1FCD6D52905FA411370C6063157 |
SHA-256 | 8D1C2A3B2C48C16E51C19EF9455671CF05912347D6D5C411B671B0A173844EB9 |
SSDEEP | 192:fcmsybWEx02eOJiQJkH8AzQ8O9lzhKFTB0Jv3ed2wUTlAflBZhqVdqKSpqeo0HAI:fkyS60XO0Hktl4ZrGe/AupNmvU3 |
TLSH | T114625057FDA3B825C607C46E199BD403FB5A7D4742082474BCECA2253F61924E2FE2AD |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/pandas/tseries/tests/test_resample.py |
FileSize | 121702 |
MD5 | 90049217F34CB6168E618E51874089F5 |
SHA-1 | 050CD160EA209CAC0C0007CBF80EF73C74A2DA87 |
SHA-256 | 5EF13BBEBACAC2C85A89AF965B102206A5057F3C023520CE620A4973349AD0EF |
SSDEEP | 3072:Tq7Mte7YcXQ2lAC4ov/n2aE9UwHLS4drXVlougoDQuw7i:27M+XQ2l/v+1r39XVlougoDQuw7i |
TLSH | T102C3754159560929A383A5BD846E9E8BD70BF5938C8918907AEC51401FCC13CFBEEFF9 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python2.7/site-packages/pandas/tests/io/data/legacy_pickle/0.17.0/0.17.0_AMD64_windows_3.4.4.pickle |
FileSize | 16236 |
MD5 | 6F43F13998BE0B2AFEC38EBE07380CF0 |
SHA-1 | 05126771C62B47B2492974A999868965E61AE7AC |
SHA-256 | 5B6C1A9DFCA61C43E86460C130D691AECF0ABC21298C1ABDB7C3238B4AFB508D |
SHA-512 | 6D15FB940080945BBB5F5D9D8FAD0009D0E0123D73EAC6C9102C6E2CC30C2DD31F8FCBAE0862CECB37EC23A1FF85C6CD60764455370B882E2C90DB32AE54FE60 |
SSDEEP | 384:5CmdOZCm5/T2RjVezyoT2boXwOsZsYT0mcq4XFRwwY3maeTfOWTkLTZTKTqTzV2w:5NdOZCm5/T2RJeuoT2bogBsYT0mz4XFA |
TLSH | T112729A0E9DF8F0B1C5D449B740308324E563261F7323A9A6D7E1A748639AB035F5AF6E |
insert-timestamp | 1728282333.5827584 |
mimetype | application/octet-stream |
source | snap:5q9xkhy8Yrdo1JDNCh2YRBRaMmbyIYyL_50 |