Result for 7CDD368A02CE9A4467BBC913E8384E37BC4DDF76

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Children (111)

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Key Value
MD5479D368D927436F36DC8ADB3C5E5C060
PackageArchnoarch
PackageDescriptionSeaborn 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 - Functions that visualize matrices of data and use clustering algorithms to discover structure in those matrices - 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
PackageNamepython3-seaborn
PackageRelease4.2
PackageVersion0.9.0
SHA-17CDD368A02CE9A4467BBC913E8384E37BC4DDF76
SHA-25635C035ADF9848768106E6C3704BF70BA9C0E8874D7AC5817B37AEA5DB1F758A2
hashlookup:children-total111
hashlookup:trust50

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Children (Total: 111)

The searched file hash includes 111 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/__pycache__/algorithms.cpython-36.pyc
FileSize4911
MD5E6831AD7DE17B990E33F47EFDCC75E16
SHA-100622064E39A947EB97CCC6D0C9774DB15F561E4
SHA-25638916F5CA740486D189C8668F36F405EA9B26CDF8A7DAAECB2062736DB058343
SSDEEP96:TpRHJendI7VQYhXcTVytAuoZNufdzm9VYwrav6HieeHQbrQgfw4ijZ9BYrWK:vHT5X+yFoZNACVYwravWiFErlijfBQWK
TLSHT1C1A1D8843E4926ABFAA0F07DD45D53013766A05353DDB7E27B0F239B2F462C9247465C
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/__pycache__/apionly.cpython-36.pyc
FileSize378
MD532D9A47B95CE7188A7F64D0FA1CA4065
SHA-100ECD64ECCA9E168A84B0FDBBC5C2F79A9EC808F
SHA-256B16C080036D75B1C9B474F04FEE19FDCD15718FEE5E81AD734764000008B69CA
SSDEEP6:k8EGl/vQR8Un8ZM2SFHuWCa+6lxRzDJ42LODidecSvqHFjAnjb/f2/9YlMrbvOc8:jQR8ahea+6dDJHLiiscSKJCq/POc8
TLSHT183E0C011422EC66ECE25E0F1F0B0083B47EB3048836E624D162C052F780C2960B60808
Key Value
FileNamesnap-hashlookup-import/lib/python3.6/site-packages/seaborn/regression.py
FileSize37333
MD56CB0E1597D51501A1A6B8BBFAFD57569
SHA-102EFEAE30CC871CBA7A006FF47A7F2A13CFF9E71
SHA-2562BFE62AD5F81253181137F943B18A718365C0F3920867265D788694EBD9C6454
SHA-51289B9A1BDB69BC4A8464B0E3DCEC0AE3FAAD294F1CBE243509EA33DD7F6D88B1D6E9B63F85B6CECF3D130E90F11E977DAE54081B488F32F6885DF4D59DB1D596D
SSDEEP768:ED9I77e2eOVE8x34Nnt98rGAEae9bmW7zQNPevRjr0Ph3bzpE:EBIG5XyGAO9bmwke5Ctb9E
TLSHT185F29417EB691B7387838CBD58AFE0476314651B2D8925387AADA21C0F0643CD5BDEEC
insert-timestamp1727098273.407272
mimetypetext/plain
sourcesnap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19
tar:gnamebin
tar:unameroot
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/tests/__pycache__/test_utils.cpython-36.opt-1.pyc
FileSize11863
MD55A0148B9CD00952693FAEA736C5A1917
SHA-103C2742D2E6AA393DB6E045327B3E4B1C96CADD8
SHA-25611F8494CAB9A7C8C60D17B8AC1C2444108602F64C892F2A60CE87980E9CD9601
SSDEEP192:kiMRpFj+VODR/zyKWZTriuCMYR3d/3HhK/fotNEglULHyw:jaFj+VER/kkuKRN/3HhKH6ULH9
TLSHT12632B6CE99460D29FD34F679400A03345A36E33B2B92D37A2510E05E5E579C22CFAAF6
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/__pycache__/miscplot.cpython-36.pyc
FileSize1592
MD5E7F68C2D9977989CE25FFC831C587AA3
SHA-104E6770BDB3BDA2C03C974EF47FA371D1EF4E46A
SHA-256C4B088F026531DD247B98A9E1185005711393FA5FCF563DFC524271DA5D3C34F
SSDEEP48:CC297h4wGOdUscOhqDHBLKVbGr7KPVjsa6v:s97+0edOkoU53
TLSHT1CC3165937F910B6DFF7AF2FA91468530816822A7A7F8E55F3A6817147D851CD0C34E40
Key Value
FileNamesnap-hashlookup-import/lib/python3.6/site-packages/seaborn/__init__.py
FileSize503
MD527AFDD7C512A9BCE641DE8002F72DC3A
SHA-109490E1136C2EC2E43F8A4AA77C48676CDC3BC1C
SHA-25675E5AE52157FC1137520373934EA4FB76E1C1B5D10F9E8105B7C6FD6AF85E652
SHA-512D96C35434469F932F710F7086975C9C126B9C8492310AB159C243DBFD2458B30142B8FECAA49CAAB15805B7823129B9EE7C642E7EF1A125B7052D6C63CAF7157
SSDEEP12:0w1CVcv1a6riX08XD068f4YBzzevrQKU8JevtpZhd:pIbo6YNIe
TLSHT170F03F2F237BBB1206FFEAC04244B8B07B3304317F02458E12C07336278AA888D20336
insert-timestamp1727098273.47603
mimetypetext/x-python
sourcesnap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19
tar:gnamebin
tar:unameroot
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/__pycache__/regression.cpython-36.opt-1.pyc
FileSize32244
MD54ACF585C3D83B6FBBF3283326FB3C339
SHA-10A0604239E8F051C5939B7C08EEF1334615B8713
SHA-256670975C0A99F3CF61711D68396B62FA1E9B147521AB9E91176F56908B8C01569
SSDEEP768:3EPqjD3qFrV6Su1a6A0kyOq+57zQNojrcpPh3bzpyr:06DquYD0SRritb9c
TLSHT15DE2074F6B180F63FF57F4F968AD50809724923B27CA6869355D922D0F0206CE9BE6DC
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/__pycache__/matrix.cpython-36.opt-1.pyc
FileSize35224
MD5E0B8D0E828D674990B40DC8452FB725F
SHA-10A702BE7BB2DD014F91E4D383FF8EF157F50A4AF
SHA-256ECC31A75F274802127BBA9B333C43A17E604E376FFD32478B8BE99921C6062C2
SSDEEP768:woaMKRMIWqhCZd4FUc7yq1wsVrt8/fHpf7N7g5so/Z:P5QMEFPwTmVB
TLSHT14BF20A5BAA404F57FF93F0F664DDC5D9CB34D02B335A868A384D815D0F429A0A8AEB5C
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/colors/__pycache__/crayons.cpython-36.opt-1.pyc
FileSize3163
MD511EBEBBD141368009D873F196C4A78B0
SHA-1111902763C71D5B38F146439839282D625B54FB9
SHA-256239D7DB9BF3B67D5986A6E8B71FBDA3727F4636834D27A3394CBF4FB28AF0A21
SSDEEP48:SVnnPvrtEWnjreebtCNRHNFCCbNcMQt+l3z2Tdnh2JH/hTKrY4Krn:2XNjntoNNUChcMQEhwdnhU/hGrzq
TLSHT18551A3AB029AEC3CB2DD49B562E02C4EB0B9DD9BCB00B514E561D1E5F908F39B5D503B
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/__pycache__/regression.cpython-36.pyc
FileSize32244
MD5F854D741285039081EAB55B4CB4C93B7
SHA-11185CFECF9C427718EC7AFFFD7F3824A4FBF2923
SHA-256231E1403881761435FF85EC0B5851D4278FCA5465A2E5752720C820EB2F329C7
SSDEEP768:3EPqjbHR+Lava6A0kyO557zQN7jrcpPh3bzpGE:06FmD02Rsitb9/
TLSHT11EE2F64F6B180F63FF57F0B968BD90809734923B26CA5869355D921E0F4306CA9BE6DC





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