Result for F9561ED5573340F5F03CE5FE735C296D6624371E

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Children (128)

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Key Value
MD56FC21A1F5C3A951E04C86D837553F14A
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
PackageNamepython39-seaborn
PackageRelease33.1
PackageVersion0.11.2
SHA-1F9561ED5573340F5F03CE5FE735C296D6624371E
SHA-2562D6AB40EA671680EFBA784FFD3B69BE6E2B399DD04973FF071E2C4E266CAD221
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/python3.9/site-packages/seaborn/tests/__pycache__/test_categorical.cpython-39.pyc
FileSize86661
MD5126B4BD1483530F1851461F253F561E8
SHA-1007CE7192EDA3B0D38A226757C02C4D4E2888BB8
SHA-25657FAD27BF6E3226B34330B0A4ACD2CC9BBE715EB5B7CCD5A141974516B54D502
SSDEEP1536:rsPrZXHb5Ekcwm46CESCs9APzNXaDDPplmyFzN/4b:wjZXH2xwus9As34
TLSHT1F183C8B8F0369E87FC15F6BC161E07A0C726D24823B9AF52A420E2553F5819E1FB56D8
Key Value
FileName./usr/lib/python3.9/site-packages/seaborn/colors/__pycache__/__init__.cpython-39.pyc
FileSize211
MD561A4F906F708AE426CEA81313FBFC833
SHA-101B2D4B81D70B591C9BE38995B9285D4F69DB298
SHA-2565788C4A8A55CC72405AE84AFA3949F16BCE2D49C9B18CB88BF9DFB0E0F9FE987
SSDEEP3:wWF94Xl9lG5/QlYtklNCTlMaMlDsk//Y3llnjlNzXV+JG9YBe/VWrz3PptcRkcTF:Lr4lm5/QWtkaglo2eZ2JG9YBbrbPLcDh
TLSHT161D02240020A836FF8E8EAB46410921A94FA3A51C395C283320C22478D0837208325A0
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3.9/site-packages/seaborn/tests/__pycache__/test_core.cpython-39.pyc
FileSize31020
MD571D2C747A4F31A02DC07CD9FEC8F6235
SHA-1092738259325A17679B8AF810BE54FF8029FD299
SHA-256DD2FD922EB4639BFCCB74C450FDE25EF34CBF00853279ECEDB4EE07D3CFEE8C3
SSDEEP768:xshTUlPtuVANG3h9EjJeffidG+yFbdWcLEE22ZXAd/J:xshgtIVIG37EjyM8tdWch22md/J
TLSHT11ED2E8FDF4566963FD24F6BD802E4B1426A4E2C96304AC42A505C3D61E6F1DA1FAB0CF
Key Value
FileName./usr/lib/python3.9/site-packages/seaborn/tests/__pycache__/__init__.cpython-39.pyc
FileSize149
MD5B5D3715540AAA662B99ED9D3C29093BA
SHA-110B07B5BB6FFDA571B7F97514FFDF7EE1FA665D8
SHA-256329E63EE7B561376C9DFF6C33375B8FD82F05C6FE86AB1AE6CC93A3E75FC6FDF
SSDEEP3:wWTavuleh/wZWezM9YBe/VWrz3wWRo6BRkcTit:LEqeh/ws9YBbrbjRocD6
TLSHT142C09250861AA2E6E97EFD79A0104F1964DADA71E2DF82833A0CAA596C493660C22804
tar:gnameroot
tar:unameroot
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/python3.9/site-packages/seaborn/tests/__pycache__/test_axisgrid.cpython-39.opt-1.pyc
FileSize55578
MD51CD3BF8B08A3E1ADA1DD2791027EED9B
SHA-11A7D5C5F3F2A4BB4227AFC547C2656EF511946D1
SHA-2568F4E8DB5A9DA9E7BA6747A57BA355EF97E206390B56CDF52D68914E0AA9F5A1D
SSDEEP1536:Ix4kv+p3HhNKcqs5hSd433HZeWQlM7Y3t/Q5XxrLHMytaLIgz5W5zPuhvy6AxLLN:XkmVfUvzRAxLx
TLSHT17743C8D8F8770E47FD66F3F8A85D0F949529D38402DAA7029410F3493DD82AE7FA4698
Key Value
FileName./usr/lib/python3.9/site-packages/seaborn/__pycache__/miscplot.cpython-39.pyc
FileSize1863
MD54063119405FC52239CB685E23B2A4D93
SHA-11AFCBB9058A34F751E40672AFFD4E36794CE1AD4
SHA-2563F2B99E5F9D3DFA863146AFD5B7765E27C5ABE24095E076392B4254865ED22A4
SSDEEP48:8QM0Wk7IW7h4w4dGCr1BcWEZakb77K/2D0ZS4KWda9H:yW7+9gC4W2aGKO0ZeWdg
TLSHT1E93181E46E81866BFBF5F2FA90C19421E637B1A6A7A58B4F3A4D06213F4D0CD1864B00
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3.9/site-packages/seaborn/__pycache__/miscplot.cpython-39.opt-1.pyc
FileSize1863
MD578D3895D2D0D1FFC525988005B812350
SHA-11B9F039CFDAF221A775DD3C179BA423DFD2E2D74
SHA-256E37CB416723735CE8BF85F20ABA7664F950B5576BB8D3FBBB66BDCEE70D0D4E0
SSDEEP48:8QM0Wk7IW7h4w4dGC1T1BcWMIZakb77K/3RD5jttXoQMFaXp:yW7+9gC1QWM6aGKB55ZoQMFsp
TLSHT1C431A5D46E85864FFBF5F6F95081C431F535B0A697A58A4F3D1A16213E8D0CC0A64E00
tar:gnameroot
tar:unameroot
Key Value
FileNamesnap-hashlookup-import/lib/python3.8/site-packages/seaborn/__init__.py
FileSize744
MD576D665896DDF191E6F782963DFFBF0EF
SHA-11E1ABF66F0E8F7977BB9DAB1BF388A56F0E7000E
SHA-2564D59004DB15035EE6D0725FFF3907D0E3A984913C913EAB01471E23349160F6C
SHA-512DD060E70A43F2D7ADF85A243DA9277269C597EC7DE756975977580736AF46C9121B17C46780E1591CF213FF9B26B9B8B591DB2094B0C1565D6E502E3D5EFE5D2
SSDEEP12:gWv1PQe+6PQeHiPQej08PQejD06PQeQfPQe0YBPQeTrPQeUKPQeg8PQe9PQeavt3:pggiqCNAiY55rjp7pIgunV6o/
TLSHT15101481F313FE71B03FD969A6902DEF05B722A22AE2900AEE04C7B3193465044D1326A
insert-timestamp1659216979.0634248
mimetypetext/x-python
sourcesnap:YZQF6inA19lP49wUDLLuvVPpGqqJMAY2_34
Key Value
FileName./usr/share/doc/packages/python39-seaborn/README.md
FileSize3169
MD500F9275CF6757FB6F6494C3D8F52C569
SHA-1205520B00A1BEC041AD364AFC3496D3E22B2962F
SHA-2569AC2908B08FC3308FF1ACCC9A8D5D0E3565149245B4C09CAFD0888E7E1B3C210
SSDEEP96:2DZj6S9g2cY/X2xf6fBfSfQIfVSlncfMfuyje6jCT836:p2hfRjF36
TLSHT1FB5162FB6D1D5E792B82F1E1E48E188CE76FE0AD26D140B5A0AC81796009776227F70C





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