Result for 1976FCD03BB705F3A80A9CAB64CC86EB4A24BA82

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Children (28)

Query result

Key Value
FileSize75258
MD557B995B560724CD100104BC0CD78B3C1
PackageDescriptionstatistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 3 version of the package.
PackageMaintainerNeuroDebian Team <team@neuro.debian.net>
PackageNamepython3-seaborn
PackageSectionpython
PackageVersion0.4.0-3
SHA-11976FCD03BB705F3A80A9CAB64CC86EB4A24BA82
SHA-256DDF0B82808EB93FC3FD99AABEE1EA809F544F949EE396FE151F73940C3DCEED4
hashlookup:children-total28
hashlookup:trust50

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Children (Total: 28)

The searched file hash includes 28 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3/dist-packages/seaborn/tests/test_palettes.py
FileSize7077
MD527B154E47C5AA624B5D30EA5DEB44B88
SHA-103182B9D57D6A2268054FE94E0F02A86DF086863
SHA-2565F7D9CA616EF8705353FF3302E4BEB4BD67C90CD7ECBF054C758238A3018CB9C
SSDEEP192:ekJPpCd3bpoy3rlBE76Gboy5k4CpzieeucVhMXq:QpOdVhMXq
TLSHT111E144BA9717C80623872EE904AFADC9C975BD9B411316A1773E04041F8C8DDEE93D9E
Key Value
FileName./usr/lib/python3/dist-packages/seaborn/tests/test_algorithms.py
FileSize6599
MD593CED89233C3C307D30D1D751CA36473
SHA-10632E34683554484D537EF51C71A06012F1A0272
SHA-2569CFD3D13F3DCCF99F9DA88808E670B3E215A1768A8A70557777A6FFFE5D4559F
SSDEEP96:0RTeB95ECNb7376S/RyMH/hxesk56CBAT/ZfDlG9V4i1ChpxTC4kex4KTyB16Xfv:6oECNPr6qEMfFhvG9V2VrkHKTyAhB
TLSHT156D14217DFB20D85CBD7B0B194AA61142984E63318E22C3B3EAE77158F5B13271B3C68
Key Value
FileName./usr/share/doc/python3-seaborn/copyright
FileSize3145
MD55D6F0D66319EEE945A9C8969E5693DD6
SHA-10E0EC8E15B5100C7EB29E4FB5D7B73536CEE590F
SHA-2562B50D53F33A01F1796B74214DF3ECEBACFF30776390A5FE64162561A83EE095A
SSDEEP48:6QSFfhA0J5PPv2Ew1QH+shIpU30l0FizOOrXIJfJzp9c432sbY32s3Ut013tSTHv:NSFfRP+rQHXebqOrXIJfJzr/3Q3z9wTP
TLSHT11551B75F725407E71BE527E076BAA8C4B12EA02E7D7B6E04146DE3841B2701ED4F7498
Key Value
FileName./usr/lib/python3/dist-packages/seaborn/tests/test_rcmod.py
FileSize7218
MD5EC4ABC2FEF9EE9E161811E70CDFDFACC
SHA-110CEAC695F84AF90C77513724A7EC0DE19AC0221
SHA-256FE7E03E6CF3BCE6799D318DECF2D6B7A073004C0FB41338EEAFAD9CACAD49DAC
SSDEEP96:Uxhb884OT/vorWQebMOGSXg9ZwTicZOZUcbc/M:UxhJgWuEM
TLSHT1C7E151165F238E16F383A43D6647E9626756AB43B648B13A76FCC0B41FCDA2851C233D
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn-0.8.1-py3.6.egg-info/top_level.txt
FileSize8
MD53877210C6B9ECE35CA3C4388CDE3BCB1
SHA-1185424ADA2E0A0AEF93D484F37A7A2D60633F925
SHA-256191214D5969DAC63402C4D711B9E066D313123B7EF4A4109621EA9F175E0A1E2
SHA-5127747853FF01B97694327B34488636E7839FD81E484160CDD126CB06CD73D02A0B6C54C97D947255F08303E0D17512D915C5B868E1B7A13B331C51934FE778C3C
SSDEEP3:Nb:Nb
TLSH
insert-timestamp1727098319.662046
mimetypetext/plain
sourcesnap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19
tar:gnameroot
tar:unameroot
Key Value
CRC329189A96B
FileName./usr/lib/python3/dist-packages/six.py
FileSize22857
MD581EBC7384E56DA825BD5EB21E4B7000B
OpSystemCode362
ProductCode17074
RDS:package_id222721
SHA-11AFEE9792EE77728890A5E0A34280E0369DBD63A
SHA-256BD4AB2FBF2286E7A8479EE6EDA25471CB39B11CFA7926CC52D96D7CF0105D385
SHA-5123892D3899C93C192FA00551B34FE7285DA70C4488F03FCF4E466A67018BDAA7CC74F472F48BFB0BB98775686EBAD55D46178FE0C0E2D2ED1BB2C6941056844DA
SSDEEP192:3QHWS7/u67wXg/uvk4Vz/08VKHdIwM2e0PF63qOpMl2MLQxnjVJaNaouxgjuAGmQ:3jS726Ovk4F/08VKNl2MIxlpRr8k2I
SpecialCode
TLSHT10FA23339D4152A67BDD37C58DCBAF4916E8C681BD20520703EBCC1C59F8ED3892B1D9A
dbnsrl_legacy
insert-timestamp1728207945.9407575
mimetypetext/plain
sourcesnap:PPjo7KVjJvmdYUeUt9LqmKRrgmGdWPyM_826
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/seaborn/__init__.py
FileSize257
MD56B1D06D6AAEC6831300A2189AE7A58E1
SHA-124ECE3325327B50F56F03A61DEC68AC732D88A78
SHA-25658E70258562E89435F65378A40D7E3E5BF15AA02596AC709A1DC2963834ECFB0
SSDEEP6:1LX7xlBa6lBVJilBJb+QlBBB9WYBlBRJzAQF8lBxWKlBcR8lBdvKxvP9L:1j1a6ri9+Q4YBzzeQKU8cvh
TLSHT1ABD0482F17323F4216BFE2C4651860A0777282752F02501A81C433362BD94C59C60234
Key Value
FileName./usr/lib/python3/dist-packages/seaborn/timeseries.py
FileSize13239
MD5B86CF544D3DAD7AF273225E267FB6F97
SHA-12686C6672E7121A66233176436C6092F18C93AC7
SHA-256EE9439B7DEB1DD8A99E6CFB87C578DE3DF2A8F34D29177D1D81358AEDD4BE091
SSDEEP192:ja7BILyo00+mb4jf324TwklvivhwYOG9IKDj2TzWZUSJ2pwVP2lxtPcile:WZp7viLT2TzQB2lfPciY
TLSHT171528716AF0603338757D4AC569FE4879320B41B2BA223B93D9DC5511F4293DE6FABC8
Key Value
FileName./usr/lib/python3/dist-packages/seaborn/palettes.py
FileSize11483
MD5E0EE3D6F38DF182EA8101C8461FA4E74
SHA-1331D785D0A059250815C88908FF6147DDC208AEF
SHA-256C823F93FC458F232A20C76975DB4CA1F328C4E7D71C74CD3A86615141F6A6CD1
SSDEEP192:A3GZ/ftt1DPhvJPxyl083NwNhc6wGKsbTzkMWF0SAT3s0SiJ/8HK8OTOMupvbh2f:LZ/FVvJJjb9yF0Ns0LN8ITUpJ8H
TLSHT13D324E43EF404B171A93CEFD04DEC5C2E738A45B250A169A3D9C41242F5F9B9C9B9ACE
Key Value
FileName./usr/lib/python3/dist-packages/seaborn/linearmodels.py
FileSize63803
MD546C0167E5FC6944FF541F1633C63CE5D
SHA-13A69B47CEE38F5C3F1477573958288D7F9515CB7
SHA-256EA6BFD05619629639AC82C6330F7AA529CAFE0EF199187672D277FB89AC8E50D
SSDEEP1536:7WV3qKhImmZm7i1u53YXmU2b9X/KxE00U:iBhImP+uRDRAR
TLSHT1BC53A617AB1417378393DCEC18AFE043A764641B2D8936787D9C92481F0653CDABAFE8





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