Result for 09DE5076DB18744A14C398180B90CFDD1EFC2EED

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/aplpy/rgb.pyo
FileSize10776
MD5A74238E7660A0F15149C99BAF86621BE
SHA-109DE5076DB18744A14C398180B90CFDD1EFC2EED
SHA-2567E53C6FDDA06F74BE58F81182574C7800C63F17A57777068BEE783559E99C6F2
SSDEEP192:jQyuiH6KnN8Q9WDnH2NetKHrmn4f9OtGIxYSWEqJWtNz92Zhmnur:jQyu06iOQEH2rHSU9OQIxYIq6FIZh0ur
TLSHT1A322E4807F940BB3858024B0F9BA8147CF66F6BFB601636036ACE1B02FE5525D0B7799
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5BCF6E361E762CE406476C10B977D9F0C
PackageArchnoarch
PackageDescriptionAPLpy (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
PackageMaintainerFedora Project
PackageNameAPLpy
PackageRelease4.fc24
PackageVersion1.0
SHA-1A835D72F52AF96EEFCC14FAA5D001DE547AB76D8
SHA-2566CE062E9C0F714CECD565867E2AC9B69E897A1AB326FFD327F9ABA9989A8168B
Key Value
MD558B4183EA8138C8A44F649F88A5E2BAB
PackageArchnoarch
PackageDescriptionAPLpy (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
PackageMaintainerFedora Project
PackageNameAPLpy
PackageRelease4.fc24
PackageVersion1.0
SHA-1833E756E1B3891834EF4FEA36B43B4BE0B1356C9
SHA-25619D7AE3B61C741470E521160A26F623F86FB123BC8B1B8BEDF774F6B20452ECD