Key | Value |
---|---|
FileSize | 465336 |
MD5 | 9F3B45C04DA158EBD442E15837FA703A |
PackageDescription | N-D labeled arrays and datasets in Python 3 xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures. . It provides a pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays, rather than the tabular data for which pandas excels. . This package provides the Python 3 library |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-xarray |
PackageSection | python |
PackageVersion | 0.16.0-1 |
SHA-1 | 6B4458A2E1FD4479DA04EFB25F70D74957547D94 |
SHA-256 | 7F29E35AADE8942449898D61A4A33627B4BCD312F4DF8709191B5B9187F70438 |
hashlookup:children-total | 132 |
hashlookup:trust | 50 |
The searched file hash includes 132 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/xarray-0.15.1-py3.8.egg-info/PKG-INFO |
FileSize | 3704 |
MD5 | 623E248E3A59522AC2647C831907214F |
SHA-1 | 041512B1906EDAFF57E5ECDB0E9B226DF96704B5 |
SHA-256 | 15D1391AAC9D52BDD1CBAB83FFEA352D605D73AA320D2AFF1FDE212E99A8A2B0 |
SSDEEP | 96:DceelJyUZbKuh0WIMfvXIEBmZiiR4XmIlWYf+AELZQI5Pamlo:ebf0WBIvhR4WFxCD |
TLSH | T13071E5473AC105BC4E97490196E8C94ADA71215BFF1568A8B5AF026C7F11B34B23E32C |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/xarray/tests/test_dataarray.py |
FileSize | 246082 |
MD5 | 1C05A39CC08469829EDA66B017222B81 |
SHA-1 | 047D3FF565A60ED2287FBA0461CA211A232C73D4 |
SHA-256 | 420CECA060179F9A73D00AB41505529044D901BFAD07329A76E5F312F3A84BDD |
SSDEEP | 6144:v64vs3dw9FBjX+fMCpreu2K/efCSSAKxpWqumjptq26VldzCgOYsHUY/bATsSkm9:v6fMCpreu2K/efCSSAtgtqLFC50 |
TLSH | T11234A624979A0C29534360F889F6C9CE6A31E9230CC82CE979EC5D411FDC53DE97A9BD |
Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/xarray/tests/test_accessor_dt.py |
FileSize | 16427 |
MD5 | FBE7860ABFA060AF42E592C962957D43 |
SHA-1 | 04A2CD031D70ED1CB506A1F3C1E2479AAAD00FE8 |
SHA-256 | 2220619A6EDE8B90D2A07F7F08F28DB3D9678B73C546CFDF5F4C3958CC43702C |
SSDEEP | 384:GJ4PWRXt0rrPW+jJLxjJLCvRbir8XjGwjJLsjJLKPpaipm4EpVrXMYDW:78g/d9dYRbzGwdgdP4Irw |
TLSH | T1757243866249091913C3E1B48D7AE5C27731E413AD1839D1BB9D58C46F0CE3EF17AABD |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/xarray/core/ops.py |
FileSize | 10737 |
MD5 | 595AA80D1D883E8A04D2B42DFFB10475 |
SHA-1 | 0A5E7A3FD2C99508863B649720739422EB3D111C |
SHA-256 | D2C7BAA964CB7B246AF23D83A6BAB6DFF959BDCC7172C071CF7A5E08E367550A |
SSDEEP | 192:1q/yIOBc/yaOM8vOeME0mllHqivYLXFBbvGLvRJEOXbiTge8:1q/yI3/yaTeeJByki |
TLSH | T1EE22C60B9D149A359593E2AD8CEAF104C725A617254334A87CEDD5A03F0F838A27ADDE |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/xarray/core/rolling.py |
FileSize | 23503 |
MD5 | B4C14566E4A2E80994520F922786C966 |
SHA-1 | 0B0C76236058354459954544FF5408612DD2EBEA |
SHA-256 | 621A2EE05343C14FA6732661E06A7404503A210F9978D108C59EE4D54BBCC14E |
SSDEEP | 192:HFTA86xnuLbFpreo/xp26+8zkvzpCz0PXLdnVCxppRXpc7eUp2TWrzkNobb6iF/4:lo1uThRkI0xI6p2FNof6zz6uF |
TLSH | T1EDB2621259519D3045E3D839CBEFB60BE721892739983075BCEC4A643F2587BC2AADCD |
Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/xarray/tests/test_conventions.py |
FileSize | 14678 |
MD5 | F365015E7DB22E9FAC1C37D741599800 |
SHA-1 | 0C0BD36DDBD8B040EBFC10BA46009E675C3EF917 |
SHA-256 | C7489EFEE514A665D5211675E3FCC482216DBE795C2DDA347B3C9C8F35118CC0 |
SSDEEP | 384:/v4L3KBe/P/n833ofUOUgvq3DLJICfxwcOnUw:H+ke/P034sgvqRqUw |
TLSH | T10162826487920C616797A1B89BABAC47122CF72705807DD43DEC8BD88F4C67DC0B7A79 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/xarray/tests/test_distributed.py |
FileSize | 7206 |
MD5 | 2645CF975718EB1EF9212C4C308A04E0 |
SHA-1 | 0E3F595DA0F1A9F74885643F8B48A89BDE4082B5 |
SHA-256 | C3A901A747C8958A73F70C21EDE34EB7E8C50D72ECDD2032604104C7B249D6C3 |
SSDEEP | 192:mg9yhbLfLzLYL52woZEoOPWPEo37UWUWGxh8WaTKTiKje:2hcGZT4iT3ITn852m |
TLSH | T1A4E14424D2553C708AC3A7F68F7B9177A120A61F4A0565E1B1DCC98E2F0D629B377B38 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/xarray/plot/facetgrid.py |
FileSize | 21632 |
MD5 | DE4D91A3108626963D7A5EC5B18C4A48 |
SHA-1 | 0FF92BBD8FE1FFB415694ED2EC478B8A0E6A9A79 |
SHA-256 | 6F9E1EE8746B3FD6D6ABBACB7013E0AA73B68ED12C75392E76C5E120B6CDC034 |
SSDEEP | 384:CBflTLFpcuwkOE/iuoMcpvpMsTD4vjmncJnyJ65D7y6p/UaC9hHH:yL/vw4/iu0pYey/p/tohn |
TLSH | T1F6A2640BAA101A269383D87589DFF403EA25B8171E5826B87CFC55042F5593DE2BDFF8 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/xarray/static/css/style.css |
FileSize | 5829 |
MD5 | F2FF5184507ECF5E7F3C02CC75CC7DF0 |
SHA-1 | 111BFBB4F346AB5E0DD412F934CFA971F99705D7 |
SHA-256 | EFA955F9A607DD5C1DA79A31A00DDA8BB7C28F7808FC1C1811DF71666D6617E5 |
SSDEEP | 96:Y8xW41IVdOLAo/vhLQ5LP0/O5lULls3ausrTY+htmc0T0kJuV/:9IV28qkkEal5 |
TLSH | T1BCC11E10B6A31B74743FE06D94CBF2E4733A86818D086F6DAD69B4186F486972133F5B |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/xarray/tests/test_formatting.py |
FileSize | 14310 |
MD5 | A7E87B7E667F69FCDE01738D4170C85C |
SHA-1 | 14A4219E83E2EFC8F5118D5AE53CE9022DF31387 |
SHA-256 | D862B1596FD73BA17A75248612BABE54BF7FED7A24CCA681219B9A84A1FBFD0F |
SSDEEP | 384:kkrKFlsl2jBKaUDJq4eXp2FpuTpgVpnOElWRfnQpsTj:kk23sl2jBKaUDJq4eXqCanOElWRfn7j |
TLSH | T17752570281480C2D730374B4CAFAAA966A29EA0749C43CF774DC49452F5CD7DE9B79AF |