Key | Value |
---|---|
MD5 | A35DE6EDD5C1368B1A6AAD1E104AC450 |
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 six 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 | 3.el8 |
PackageVersion | 3.0.3 |
SHA-1 | 213F3CBC0E6D2EB2B80AC01921EC383B34CC02B1 |
SHA-256 | 6C05EFCE8589962F7DFF997F12A5DDDE643E2D8F39DAB2D08940D3DE12EA4005 |
hashlookup:children-total | 673 |
hashlookup:trust | 50 |
The searched file hash includes 673 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/matplotlib/tests/__pycache__/test_backend_ps.cpython-36.opt-1.pyc |
FileSize | 3965 |
MD5 | F8CFC55B4A91CE9D4681852583DC3DE6 |
SHA-1 | 001276854BE91E5A8F940CF05B98E05835FA746C |
SHA-256 | 02E1404F9D4B63BE7B3A2A2D5059A0DF6703077C52A6725E1E18E2A08936659F |
SSDEEP | 96:ka6IAhCpMXzOXmd3gyHigJUEEX7i3QwtLL1km1eJ3KWHiZi:5OCMXKXmNgyHiMYXeT1eRFHX |
TLSH | T11A81D7C66463566BFB6AF2B1509E35403F39F329A798D527570AB14F4C8EA881C311DC |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/matplotlib/tests/__pycache__/test_legend.cpython-36.pyc |
FileSize | 20482 |
MD5 | DCCF710E97181139B91487D3BC71DD57 |
SHA-1 | 005D0B0C96D59AF5EE6288EDFE40771A21B31E87 |
SHA-256 | 3C123733A798B146CCE572719BBA1053A0471562F5A62FCDECD4A62A083CD176 |
SSDEEP | 384:3WizrVilmtDTwefgdCotUOKHoeMZoXKcthziTt:mizVwnCo6Ho5ZluhziJ |
TLSH | T133922AE674826E0AFC34F8FD0E6B1B978B30931723CEF6264A21E24F2D585C91C655C5 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/matplotlib/__pycache__/pylab.cpython-36.pyc |
FileSize | 10917 |
MD5 | 5A04484C72A1A658C2847C37FFBE6B22 |
SHA-1 | 0182F3F3294E1A0B0F071DC59BE022C334C1260D |
SHA-256 | B984FD9E56F85CF850E20F034100EF6465A939FAEDE78984EA2807CC1196A624 |
SSDEEP | 192:Kf/T0plXDFOWNS2FjDQgzYgohFT7XDLXqJWiZl9FoSf2wzpxws9A9yhh:KfGlXDFO9hgzeFT7Zif9FoS9G9g |
TLSH | T1B2329705B258D333F743A071E3DFA191A130E17DFA19B64D7ACE402433C6AA9997A3C8 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.5/site-packages/matplotlib/_cm.py |
FileSize | 66609 |
MD5 | A961956E2BE37C3322AAE725E1FC182F |
SHA-1 | 01CEDE02A16C00903F146AB8CAE92A82EE0CD6C6 |
SHA-256 | 0B7C62FC7EE8F1617AA92BF7265D030354F6BDB4FEE302032C561FB897B96698 |
SHA-512 | 4F7AAC5AE965CA96BDA41D6AA45FC448402520D8F17F58D65E29A5A588D25D6E4994237ED072B436C0250F893321DEDBE304100FF6B639174B65AD4DD71692E2 |
SSDEEP | 768:C9Y1FsljxXgtVLtWCIYu731F3P5Sij1cKI89z:OYEljxXgtVLtWnYu731F3xs189z |
TLSH | T1DE53FDCA00CB4C843267B46DB8338D490F55757F2C74B84A319DEA8BAFAE8CD5675E42 |
insert-timestamp | 1728193113.0893292 |
mimetype | text/plain |
source | snap:35wxVUEDfxL1qicLxEYXoj3uZeFpWx1v_11 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/matplotlib/sphinxext/tests/__pycache__/test_tinypages.cpython-36.opt-1.pyc |
FileSize | 1447 |
MD5 | 4E90D4C920530FD645E42D1AECB2B41A |
SHA-1 | 02C55BD61053F77446457D22AEA745D5EFD3FEEF |
SHA-256 | 4EF60E2E07DE79603FB1C7346DF308BC76B8D8FD82404B98B69FADF27298E7FC |
SSDEEP | 24:+pWHq8yI+FEaY3j/9sWQ46c2t9wOI+ZCp/xdS2l5McZvTX8kETohYDKYm:nXyIQEzLulLfwt+ZCpHS+e6vTX8xToao |
TLSH | T1C931338308966B23F535F6B961DA5323A98942A9720E523F5F0C846A1C4B34C19736A9 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/matplotlib/tests/__pycache__/test_afm.cpython-36.opt-1.pyc |
FileSize | 1503 |
MD5 | 4EFE300693390850D6656E3EFC45B3B2 |
SHA-1 | 034E5AF9BB25C87FF4C79CF6A159C26DD890D944 |
SHA-256 | 79099BF9AFE3D6EA73A6F216C4F976A3D7867BAC5A0067137A9D4B206777DFA3 |
SSDEEP | 24:WyTCbylDUhCsX8R0EmWhw0HNKgN1uZqN598tlPIK63qdACo9:WYajhCsX49oKj598tXuqaf9 |
TLSH | T1E03176D97E00995DF81BF37A9482FA35356C4B3536AA201BCD28408F3F565D84833C0C |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/mpl_toolkits/tests/__pycache__/test_axisartist_angle_helper.cpython-36.opt-1.pyc |
FileSize | 4353 |
MD5 | 66042B1028C86DA1D900F02A584A84BA |
SHA-1 | 039B0DE2F0AFB071747C4F31A5252E78AE30220B |
SHA-256 | DC5C9968F4C8FE5AC2841BA8760B03BBB5AD7CEFDAB5F77AE809BB304D6CCEB4 |
SSDEEP | 96:nk8Ewbm0be2yszzJCREuoEr/1RCSNVsFe3vN2P:nkhsfz9C1RX0EvNG |
TLSH | T17191B78560820D36FE96F4BA809751019F24E14FACC58A877A8CE26E3F2BDD4070AF57 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.5/site-packages/mpl_toolkits/mplot3d/art3d.py |
FileSize | 24879 |
MD5 | 0BED1BCFA24115E6C17B68D0AA141F30 |
SHA-1 | 04294AFEE910D1AABC64C6A1CA1E90D98336EBB1 |
SHA-256 | 26E8F5B2124039B7BF243845DC59B8AAD3153E6BCB31462DDA52A9F1D6A4B5E4 |
SHA-512 | 92064513C5A6E5851A8A1B45A04A40CAA6E5ADDDE0C7350016B5458FC13C12926C50FB8423D4A8CB6E5A2B99109CB1600DF5D504819EBBF88D185A2FB90B91B8 |
SSDEEP | 384:L3EtzjTlOF26IwINtfV+Pa0EqegJZeHsgQ6gV:DEtzVOF26BPr2gJZeHsgQj |
TLSH | T1ADB27166F4816F77C38BCA2695DBEC53732A95A3012914393DBC83980F1493581FADEE |
insert-timestamp | 1728193124.501799 |
mimetype | text/x-python |
source | snap:35wxVUEDfxL1qicLxEYXoj3uZeFpWx1v_11 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.5/site-packages/matplotlib/tests/test_image.py |
FileSize | 28593 |
MD5 | 7F85E896954B1DA19ABBB4B5AF26C134 |
SHA-1 | 04695722E31ABC51566F524CBCCF9B7CC5B1ED9F |
SHA-256 | 9851339948D744A341BDEAB67F28F32B43B7325FF461252B3F239855FFFA8A0B |
SHA-512 | B3361FD6C2926143DA102DE9D5DF95D927E71EC499004477BF347CC17CA7B069D4AD624F4BF47A58BE5B27C395FBF4636C77C8168FEC4E01045324BBE8E885F4 |
SSDEEP | 768:4LhY2sxJBWCqaef38KYe9zZGK9zcnuEY9ymlVXwdtBk:4Lhpf38Be9zZGK9zcnZY8ml+jk |
TLSH | T1CCD2C40E949B062F5307807CBCFB0A095B8895935E809EED758DA8301F89B7997B773C |
insert-timestamp | 1728193116.174935 |
mimetype | text/x-python |
source | snap:35wxVUEDfxL1qicLxEYXoj3uZeFpWx1v_11 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/mpl_toolkits/axisartist/__pycache__/grid_helper_curvelinear.cpython-36.pyc |
FileSize | 11775 |
MD5 | 89199092AD302032884B759B175CBAE0 |
SHA-1 | 048E5746211BB78FD8DBD44D714612C398B10E9E |
SHA-256 | A3F103F631F206C52666AAA13243111866A0A74E92166F57C74203BFCA9CAD53 |
SSDEEP | 192:V53qV+/rg2jtI4mAEmic0WbVf14X1UAat0O9Xq/As5VpkKszUT61AkW:H3//rlWzc1j4FUKOF4As5zkXoT61AR |
TLSH | T19132DA826D43BE1FFD25F674609926010BB443A34B8EE14BBD0D805B7F945C90CA9BBD |