Key | Value |
---|---|
MD5 | 12BAC92B85B6EE7733359BA24A6AFB14 |
PackageArch | x86_64 |
PackageDescription | Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shell, web application servers, and various graphical user interface toolkits. Matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code. |
PackageMaintainer | Fedora Project |
PackageName | python3-matplotlib |
PackageRelease | 1.fc32 |
PackageVersion | 3.2.1 |
SHA-1 | 20D2824FC7E91E95729E3A1CA82AE3948A226F3F |
SHA-256 | F9DAFBA5BB96FFA204D2D35253AD707E4994B1BD2D9F1B4AABA13648389F51BC |
hashlookup:children-total | 688 |
hashlookup:trust | 50 |
The searched file hash includes 688 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/matplotlib/tests/__pycache__/test_image.cpython-38.opt-1.pyc |
FileSize | 31679 |
MD5 | E8132B17C8DF33CA6179D5D4E69F0929 |
SHA-1 | 01230E4D7ECA7053260793FD156CAB634ED51601 |
SHA-256 | E9AE9670F74434EFCBAD08091ED65D945B20AE8F96BA2DAB0A12867218E049A1 |
SSDEEP | 768:hPC0LW8nkodmeJY0cnjHqwceqOdI2tPjlse8Xnde7nN+E4Ll:h60LrtdmeaUeqOqsS/3EW |
TLSH | T1B9E2C690A8B24EBBFD19F3F9196F07609860D3A577C6E3063502F19E7E852CA6C7518C |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/matplotlib/bezier.py |
FileSize | 17271 |
MD5 | 63CD5D0D98405B726F346950D3FA5E3C |
SHA-1 | 017914FA67272A0BAFF73753B52AFADD30978C63 |
SHA-256 | 16A6F682A467992DB062311954571D4A7811C61E60FE1167C57F36445A6299E7 |
SSDEEP | 384:CACEy96XvW5OHm6lSnFa9RGOWCojkq9jZ1MV12R+bpzwXrHyfq8XmR:CZ19wvW5OHm6lSRCojFVZ1B+bpzwXzOW |
TLSH | T16C729512A5855B59C283CAA2BAE34412021BCA7733911838BEFDD15D1F4BC74C6F5BED |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/matplotlib/tests/__pycache__/test_png.cpython-38.opt-1.pyc |
FileSize | 2086 |
MD5 | 5A76E4CA9B162D09CBB1526A5C6EA485 |
SHA-1 | 018316A53B990D5084245DE43DB9E2818E6E5A84 |
SHA-256 | 1968E88D275711FB7BC0A05837B0C1962296DDBF4964D87C1233040226F13CD4 |
SSDEEP | 48:2iZ7h9O/MCuVtqN1mKddvE22ROmojuHr36mCTt5:bhzbV4qkv2kmojuHD6mCB5 |
TLSH | T16E4188D841030655F96FF3FD454D8B5AEA73F3A9521E9B2BD309A20AAF4C3CA0C69548 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/matplotlib/backends/backend_svg.py |
FileSize | 43552 |
MD5 | 99C07A77B64FD2F8AA1D4329ED3974A4 |
SHA-1 | 01EDDA1DB6F5786726A53FDDD9DC2DFA24B94B7F |
SHA-256 | 28674931FF9C5C85BCDACD0C0BDFB03AC9AD11EA3C3F79E9FEE2B4EB3D851A42 |
SSDEEP | 768:qxzXDtRqfUmIIjKg3mqA8IO0djbpG//X/IvA:ANReUGjHm88A3/I4 |
TLSH | T1AD139262AC4309268B53DA2E4CD7E807D32AEB9B5B1C263979AC41495F4513C52FCFF8 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.6/site-packages/matplotlib/tests/test_sankey.py |
FileSize | 310 |
MD5 | 2EDFD1D49F411D2903B16529D1698BCD |
RDS:package_id | 294806 |
SHA-1 | 0252AF4544F6EF4308AC71C4C9E3A9E89FB123AC |
SHA-256 | 29D5A1819A4488227CA3BCAE1639C282A15EA1DC0A482BAE855FE6848734E1D3 |
SHA-512 | 40CAFCD6F7981F62CBD6AFA0C806D304F210AA1A201A0C1BDC2A5940DFE5D21AF05EFCEE1A282C1039BD2B885A5E2B099521BA1857EA09387DF3CA777D246F27 |
SSDEEP | 6:1HDFLnilvWwMeR6yUiGgE+s7ttvTOsv/hPmef+jyxaFEYj+q8YFC1lv:1HDFLIv1X6ZiGYqv1vJtYelv |
TLSH | T177E07210EA02267CE8BB80A395B3F1404E09402FF70008C878BD400D07633A4F2C31BC |
insert-timestamp | 1728992332.0082083 |
mimetype | text/x-python |
source | snap:N5wcyFCjMeVF52rBn3YjxIanpCo5ifFJ_1 |
tar:gname | bin |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/share/licenses/python3-matplotlib-wx/LICENSE/LICENSE_PAINT |
FileSize | 1010 |
MD5 | 735386132F9C2FBC19EFD554FF58D77E |
SHA-1 | 025714E1D469AC33A8703F2C85BFDD4FDC333C34 |
SHA-256 | 1B65E46D75AB7A8923572FA31D041929E52D2E265DA46F477778591F6DD41D71 |
SSDEEP | 24:kBb5b9q6kkmq6rxviDjXkNG/TjbUe3ew/ew:kB/tetFaDnHUej/ew |
TLSH | T1EB113286B3A0BBD465B29F81686078CCB148B03A7603AD50384DD3C9935788BC47B3D3 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/mpl_toolkits/axisartist/__pycache__/axislines.cpython-38.pyc |
FileSize | 20486 |
MD5 | 79E198E65AF8C0B8090DAECCD1820BFB |
SHA-1 | 027E62E773AEEF08AFA3E3C43642BAC6CB9ABCE5 |
SHA-256 | 7531E37A73F1E98DB3E38967A631736B39A009A047C1F361F9CF305AAB3465C1 |
SSDEEP | 384:WMwrnBar4Rnp2EjmUrx85IjQOeNDO+oEv1z:WjnBW4P2EjDtEVh/D1z |
TLSH | T18E92E7C3D792EE6BFEA4F2B41449170074B58373535A4013B99D90AB3F4BAE50CB2B98 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/matplotlib/testing/compare.py |
FileSize | 16969 |
MD5 | 7F327CE163CED2C3962F7F5557B468D3 |
SHA-1 | 029D81C6E54AE2F254ECAD136F9C6054E9599906 |
SHA-256 | EBBAC05B8E3B1F80149C6A13F8050FEECE82076435378A2A85EB4576F05D2999 |
SSDEEP | 384:mxV3VzU8XXjCgi4mCx7TqHmHVeYQ6qTRGW7fKrNhc2UxFvIx:mxVl1KHm15Q6+Njp0x |
TLSH | T16372D6299B0D4A679393C492BB5BD493D369A9030B4587A4B8ECC0146FCC9B4C1F7BF9 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/mpl_toolkits/tests/__pycache__/__init__.cpython-38.pyc |
FileSize | 462 |
MD5 | B9510BD8D70243A911DBD05BEE16E945 |
SHA-1 | 02F0718C839CE59CD89C2B497882527BFCAC3D1A |
SHA-256 | E81CD7974FDD1B327722479DCEB08A8E8EE0D67A939144CF8FD9453F39B05317 |
SSDEEP | 6:caYkaYevbsL3dFrFZiUKmNAFHBaH8sgR9EZOQlOOBL7AS1DyO6pFClUiLorsOMQX:cTJvQrrFNcHkUuZZ97AZgUidjZDr4 |
TLSH | T178F0231C03421635FC7483F9322D89314FF2D0FBC2240B3A9A9C674D540101429E356D |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/matplotlib/backends/__pycache__/backend_svg.cpython-38.opt-1.pyc |
FileSize | 29718 |
MD5 | 138C7399D37559D3C15AE7DDEEECF1E7 |
SHA-1 | 032ECFB122F3669BABA3D55A3F113228E57ACCA7 |
SHA-256 | 28C1B7041064BF79205FEE5266158B1A81C8E376EF99826585E64D6C0486158A |
SSDEEP | 768:xOGqNQUSkjK22KlRdAr7yjVOmOrosRcswaHdQ5YGI:x+KUZjRblR0yp69xwaHd/GI |
TLSH | T118D2F880A6073D1BFD7EF379915A4540E5A583EB63DD820B34CD91AA2F464D82C2D39B |