Result for 06D9E254D13F0DB11DB627646F3DE3E89BC07F34

Query result

Key Value
FileName./usr/lib/python3.5/site-packages/aplpy/__pycache__/ticks.cpython-35.pyc
FileSize15329
MD5BB2F69D06F69755542E31A8FDE71D0DA
SHA-106D9E254D13F0DB11DB627646F3DE3E89BC07F34
SHA-256B7605C99C2992CF14BCEAA3A2D22559808E4A583ABB8219E8C9F2E689318B4FF
SSDEEP384:1tf+exe5PSfK8+qrbKCTSAlfp66lsSOrTOEasb8S:LxeRSZSAdp6fr/
TLSHT1FA623F403B93A55BF011F6B4A07C2741AEB3D59AAF0277153AF8D0392FD5B90C07A6D6
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
MD552E2879F03CBEE1857FD33EBCF6A8FE6
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
PackageNamepython3-APLpy
PackageRelease4.fc24
PackageVersion1.0
SHA-160036F690DE73A5DA35B4FC9E66A4A75F3850503
SHA-256AA279E84B3C40C2D5D685F027CEA9BCAF0981DFDD616307DFF44C4256EC23AA7
Key Value
MD57052B3403867DDD2E4A10908A7A7FC24
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
PackageNamepython3-APLpy
PackageRelease4.fc24
PackageVersion1.0
SHA-1491337560980791C95D18F98B96BEADA6E6E2F02
SHA-2565483A2A20C8C65305B1934101D03B31ED901C6D4516C6B4E9C32B2EBCFE25BCC