Result for 5A25E1F9614CDD6489D8E355CFC535120BF173C4

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Children (128)

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Key Value
MD58C0E9C24728389B0D0E7D97EFA8D32C6
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
PackageNamepython310-seaborn
PackageRelease33.1
PackageVersion0.11.2
SHA-15A25E1F9614CDD6489D8E355CFC535120BF173C4
SHA-2560CC2DA4A133F1FDF364ADAE04D702C04A141287FEDD94BE103C2EF5223646EDA
hashlookup:children-total128
hashlookup:trust50

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Children (Total: 128)

The searched file hash includes 128 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3.10/site-packages/seaborn/tests/__pycache__/test_decorators.cpython-310.opt-1.pyc
FileSize3825
MD5F79F590433E5F47BE9D43236A482DE58
SHA-100997D8FBFE54A51CABB61561F8DC74CC8582A57
SHA-256556368F550BEA8466F19388F617C2E369B5447020083D808F61B78CCDEBA943F
SSDEEP96:vvrC0mn9FQqkRfWhfOq3q+fOq9lwq5wyNTpxrmCqsqqXp/3Y1qrqqlIQqG9S560B:LuTQqkRKOq3dOq9qqNVxTqsqqXdI1qra
TLSHT1768194C2984EBC93F9BDF7FC60A3131829249199234CA903B920B1872D9F7C513D49BC
Key Value
FileName./usr/lib/python3.10/site-packages/seaborn/tests/__pycache__/test_palettes.cpython-310.opt-1.pyc
FileSize13207
MD56376D0B629A2C5D4AB6D013E8F50A707
SHA-10102E000EF24A90662A4A789348552A4FA0C66C3
SHA-2565EF8C40120EB60246D290E184A39CEB84E14B361B71534E917C15C13383686AA
SSDEEP192:UjFeR+mXSZITfc+iJstKac2vuOVSIicOZDUs50:UMR+miZIz4JoKa1uOVSIicZH
TLSHT1215271B6B6171D07FD56FBFEC15D1A95AA7AE3829187C14B4B04E20E2D8C1CA1FE3448
Key Value
FileName./usr/lib/python3.10/site-packages/seaborn/tests/__pycache__/test_miscplot.cpython-310.pyc
FileSize1443
MD51858918BECEF4C4C46BDBBDFC8FCFC18
SHA-1054254BAAF903F317FBF7D45808A6FD5F544C80B
SHA-2568D53FD7563CDBD87329A4628BBFDF409E15A99E939E37499A1DE3C93DA8651FF
SSDEEP24:VM/nuj1quG9pkCUZVMmzMppM43ZNnfpkMgLRD05+KqiMjapyK/vwIXGGav335:a1uGTnkbzx0nfpkMuDEugw6avp
TLSHT15921C54FC7422F73F696F6F7D18B1711B265A2B617010E4E270865877C8E1BD0063B19
Key Value
FileName./usr/lib/python3.10/site-packages/seaborn/tests/__pycache__/test_docstrings.cpython-310.pyc
FileSize2053
MD5C86E22FF9DB11A0F3BFDAA919B7A090B
SHA-1063316A0AB09DC2B615159CEF6E00023862A9068
SHA-2567752E83A58C9E96F746315B7C19D9361993C6F43CF0402FFF69CFFBB8825CC68
SSDEEP48:s2wscw8Eit1+M05JlJJoRwEWklzk1vKmUu:lcw8EM1W5JlwRwTkpk1vKW
TLSHT15041308449020C02FCA8F6FDF187062A81BBC4B7B16285197B4D6AFE1F1F5B41534D04
Key Value
FileName./usr/lib/python3.10/site-packages/seaborn/__pycache__/_core.cpython-310.pyc
FileSize31250
MD5F7A1599DCCEDFAA41E7FE04579701FE5
SHA-110A36411F9DD721A6B2001D4D562A218020A45E4
SHA-256992FD638283461D86EB3D773E931857EA97753D97B9C6AD7957E1F68FC098FD2
SSDEEP768:sk6+Bb04go3sP1xhAr1B3diuaqqVL8ekvNXv:sGB32rha1BYuaqqVgekvNf
TLSHT1BBE21A86BD656F3BFED1F1BA809C1140D724A29B674C7182384D922E2F0691C7A7D3ED
Key Value
FileName./usr/lib/python3.10/site-packages/seaborn/__pycache__/distributions.cpython-310.opt-1.pyc
FileSize53880
MD5B68777295AC1229F2FAB65D360AD6E34
SHA-11470DFB1B6E0FF3C45BE77B8553C5912DAED7689
SHA-256D6A4F5E5931E1449894DDC98F5986FC296B70A7EBED1C55BBC6E78FD50819B74
SSDEEP768:wi7GK+DaIl3pFO1WdpOvJXl/21RKFd7sW4mtabA045jY8aBC4/lLTYZyjrfdLgh:wi7QaeyiQvxlOMsA5wC4/lnYZsr1LQ
TLSHT1C7333A6E79104F33FFE3F0B1C44D1061AA10912A73996295BC5CC21A3F6EE699E3E19D
Key Value
FileName./usr/lib/python3.10/site-packages/seaborn/tests/__pycache__/test_axisgrid.cpython-310.opt-1.pyc
FileSize54363
MD5425B1BA970C9C2330DEFFCABBF56AEB3
SHA-114A4856ACFD8A369411FAA8093BC39C357760442
SHA-2566DC9173E7A7A9D54BA54FBACC6E7054E86C8896FD0881CBBE05DE282925C6B9B
SSDEEP1536:ESIddhlFGNa3F/aXSG56AjKQ72ZNX8GN6bYj+eJ7NuakenS7qU6vSk8hz/BeGRXc:EZdLl6yQ3+jtvnKz/E/em+u
TLSHT14B33C7D8F4770E47FE66F2F8A5290F959534D28403DAE702D020E34A3E983AE9F5469C
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
FileName./usr/lib/python3.10/site-packages/seaborn/tests/__pycache__/test_matrix.cpython-310.pyc
FileSize42438
MD5E9BDDF38933DD79C51D2A1536E1C5321
SHA-11C667E3671B0EBC392282CE0EB03AD61A72DCDC5
SHA-25642C9E77CD19E181F0DEA54E53941E7E1B5B05EF8D3C9B07FBA8362D070244942
SSDEEP768:oCPIkuoI6CjKUGAqGQHxiCepLo65M0Z4TZ1A/FYy1AuwL4ZRCbtEHI8VYFxCygIX:oXkHWjKUGDGQHxiCepLJLZIUF1lCbtEW
TLSHT18F138558FA731C87FD81F5BE642307D06FB1C25C32E916C29428E2493DA829A1FF7665
Key Value
FileName./usr/lib/python3.10/site-packages/seaborn/__pycache__/categorical.cpython-310.pyc
FileSize98741
MD54BF47A2A53CBE9D57DA8CD30EFB3EF1B
SHA-11CFB418FF796CDC3FD41BED7772237C3A9BD3D4D
SHA-256B464B2CA140F4F1B42BFA6B9A176CA28D88E30AE627D841D5EE5087EFE2A7C79
SSDEEP1536:1g5bu0R1pt85rrt0gmTjCz9EjiTUH7qKvH2f3WfomWA2SF8ctObzF51+zn3jrh:cNpt6iMA7p/66omf2SXqLYzn3h
TLSHT12BA3076FBE580E63FF92F0F914DD40859220F217C399A569346ED31C2F858AC5CB96AC





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