Key | Value |
---|---|
MD5 | D41427AB57F507AA7FFBED6CFCC3B270 |
PackageArch | noarch |
PackageDescription | APLpy (the Astronomical Plotting Library in Python) is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. The module uses Matplotlib, a powerful and interactive plotting package. It is capable of creating output files in several graphical formats, including EPS, PDF, PS, PNG, and SVG. Main features: o Make plots interactively or using scripts o Show grayscale, colorscale, and 3-color RGB images of FITS files o Generate co-aligned FITS cubes to make 3-color RGB images o Overlay any number of contour sets o Overlay markers with fully customizable symbols o Plot customizable shapes like circles, ellipses, and rectangles o Overlay ds9 region files o Overlay coordinate grids o Show colorbars, scalebars, and beams o Customize the appearance of labels and ticks o Hide, show, and remove different contour and marker layers o Pan, zoom, and save any view as a full publication-quality plot o Save plots as EPS, PDF, PS, PNG, and SVG |
PackageMaintainer | Fedora Project |
PackageName | APLpy |
PackageRelease | 3.fc19 |
PackageVersion | 0.9.8 |
SHA-1 | A627751F3C4CD579D63FEECA969CE76BC847B47B |
SHA-256 | 6F9F213206651DC313A0E1D231206DA3F50CCFB8E7EB9F0772C989778461DF38 |
hashlookup:children-total | 117 |
hashlookup:trust | 50 |
The searched file hash includes 117 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/aplpy/tests/data/2d_fits/1904-66_STG.hdr |
FileSize | 895 |
MD5 | A2F5D9E672E8B876388CE2B3B5EC73BD |
SHA-1 | 028A418EA4D4F4635EA425821C366FA456125AE1 |
SHA-256 | A2CFA010FB676CCB30EA421B8C07F69166108412FFE6422ED32DDABEC4E1DF40 |
SSDEEP | 12:FCZqXBF6k3QlzpQcSNxzXQWB2pDX7vZynKRE1B/O2BzOaTo4yx:FnXBMFdTYxzX7QtrvQKWz/BzlJyx |
TLSH | T1B411494A69D4DE53D0180CAB796B3563052CB01F2ACB505070EC2ACA0BE983516B8777 |
Key | Value |
---|---|
FileName | ./usr/share/doc/APLpy/tests/__pycache__/test_scalebar.cpython-27-PYTEST.pyc |
FileSize | 4320 |
MD5 | 082BB155D7EE23FFBB5B284937227DAD |
SHA-1 | 0749F8A1EE5CFA2516E32C43EF6B0E449817C819 |
SHA-256 | A2AE8D612BEBCBF1F90F027C116473207AA44367400FCD6C93F16B80B6AC5637 |
SSDEEP | 48:Yg2qBHiKVOwTtAKV/wTbaKVIxmKVdD65ZHKVWKBtJeTdaKVVwTn2KVlrlAR5KViF:/2UIotoyV+jNK3kpLoT2mipyD/daRj |
TLSH | T19891489273E2490EE9F5203690E01347FE35F573BD0AA723556CA17927C92C8E0EA7D6 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/regions.py |
FileSize | 4963 |
MD5 | 826A56CEA1C1F9606D49878FCA36FFF0 |
SHA-1 | 0923743CA4E7C1B1FE5D4868BC6AF5EAA52BEC4B |
SHA-256 | 7813DA8CEC08C0B652753FC4F455F25825D1FD9AAE7F358882725B60979DC29C |
SSDEEP | 96:fHev60LVto1uYI6m9hayW/8zkkhF4Uf5pjpgc+utrns:ILVSEh6m9haQh+a5Ec+uFs |
TLSH | T1ACA155069A011BE3F967E51D6162E9237239ED2300548434BFEE968D5F423048FB6DAE |
Key | Value |
---|---|
FileName | ./usr/share/doc/APLpy/runtests.py |
FileSize | 185598 |
MD5 | FED3C2CAC71B86ECD4D482D7EA39CA9A |
SHA-1 | 0B72BA5502243A2357E200D35FF519634F3F238E |
SHA-256 | DAF612A7A93B2FB6E5C968E9622EA3DB3E20937D5FBE5DDB726C2810F02DEC9D |
SSDEEP | 3072:7B8E9iCytlyJxldj3shkrvAsvMf3QFKR1GDgY5pT7mizSbGmfNgdp2K+B3W5ur:V84iCJlh3NIsvM/QFY1GDgY5cnbGmfyq |
TLSH | T1890412DA1A001DF56F654228540BDDCF0073BEF6461E240C399D1AFF9B6E9488FEAD48 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/image_util.pyo |
FileSize | 3065 |
MD5 | 73A08638AE9DC8D3C49DC1EC57B61F93 |
SHA-1 | 0CFA6FBD7A98594E351C102B3D51E3E62449E4A8 |
SHA-256 | 604925FD39B88012394F9EE87FD0D1FA24A95AEA4FE23EEDCD606D210B8E14AF |
SSDEEP | 48:XvCCCZvtG3sqOo9oLwAA532qCL36YqzwE1HlbTT3eIuT3x8W3KeITOVBjIT/EC9F:Ncv/qOo9oLwupqzBdKIeh8xeITODITAy |
TLSH | T19451B980ABF18DAFD162627970761107DD7BF4B756027B0267B4F4B92DD83A6882E3C0 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/angle_util.py |
FileSize | 10685 |
MD5 | 3F3514BE397A14630069320195F0640B |
SHA-1 | 1166525E6DEA41EC3643DABF70517AC18A5AF717 |
SHA-256 | 21F1FB801CEB7FD0E747215BB327792B0710C4B0F6E81C0641A232B8C9AFFA0B |
SSDEEP | 192:RUjCD1NzBgpSNZwOCYE6piADNZ8JDsbUmWz/AxBhF335HosjF2xiHpJnXeX6ejqL:RUO1tBtXwOCYEqtDX8JDsb7w/KHoIM8t |
TLSH | T104226155B64D1138DF2B463A58DAD2474B1DAC0B020E1E7E78ADA4E52F4AE24C3B0FF5 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/scalar_util.pyo |
FileSize | 2661 |
MD5 | FEDC00B6655EDCDC4F1C2FC96CC74BFB |
SHA-1 | 120E871DE31502E65D2E432F68495DE307A0E8BA |
SHA-256 | A01E90923B5F62C3C180687F135FC149C7EF6D0EA7AEFE3EBC6AA5D4026D851C |
SSDEEP | 48:WFPF2TT/jZ/9GD/dQI1Jm8PIwllUU9Lblbtc4FooHy5:+PFc/B9GDJJioblbtt1K |
TLSH | T1DE5141C0FBC48F3BC77209355169521FCBAE95BB53049B87366884362ECD66A063B7C1 |
Key | Value |
---|---|
FileName | ./usr/share/doc/APLpy/tests/test_frame.py |
FileSize | 489 |
MD5 | 151834EAE26C8D49C0FD8D9398E1DC53 |
SHA-1 | 133B4EFCFB7968B119E93B9AD4EB2C5956DAE4BD |
SHA-256 | 0A3CE4D54A37534C805932810FAD171DBA6A2BA535966D598F44E9BCD747A539 |
SSDEEP | 12:Gt7zfEUe/RypiY8EzbaJlZvv/JmpTpIsbaJlZvv/VJM3JMVdXJMBA:C7jbeZyUsgl9pmpTyfl9DM5MV7MBA |
TLSH | T1FCF02757B23606489BD349AC8031B509231D64237BAA8A5C728EFD252F7D0B610F031C |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/aplpy/tests/data/2d_fits/1904-66_AIR.hdr |
FileSize | 951 |
MD5 | B19294DB756ED4F90DC240598460459A |
SHA-1 | 142DB0700C6EC2E5343D8BEE5CB304964485A898 |
SHA-256 | 27C2FAF10AAD8A1B9CCCBCC2CC3370A5E2212D4C5F41DC5DE2FE15F157723F55 |
SSDEEP | 12:FCZqXBF6k3iI+hBQcSNcYmQWB2pDX7vZltnKRE1B/O2BzOaTo4yx:FnXBM4+1YcYm7QtrvxKWz/BzlJyx |
TLSH | T1A011484AA9E4EA92D0580C97797B3523052CB45B39CA506070EC5AC91BFD83816B837B |
Key | Value |
---|---|
FileName | ./usr/share/doc/APLpy/tests/test_tick_labels.py |
FileSize | 1499 |
MD5 | 080F4B82B15E6F181EA7DE7A9F3FBE38 |
SHA-1 | 16A22AC87292F41D9B203E009BC3644F4173936B |
SHA-256 | 51137056530D42775CEF2B9A5FC254E175D4E5DCB357CAE0FA6C07C1E9DB4032 |
SSDEEP | 24:C7jbeZyULl9JLOmiMzwfl979AWBfl97jKrjKXAVAJl986jKn6jKi6A96ANl97e1b:C7jbw/iQ269YoYLDzE |
TLSH | T13131C227F32A2600D7A3655CE025861135E562231BC5B46EF7DEFD00EFE917B50E264E |