Key | Value |
---|---|
MD5 | C01AE03BEF8DB66F7EACD6A8D304C786 |
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 | 2.fc23 |
PackageVersion | 1.0 |
SHA-1 | 647E92A2801C986050DDD4D0A4DB440BB560B285 |
SHA-256 | 7BC6FC82EF947FDC62866F8B403B5C141800DEE4C2420E7F0C9A9509414B836D |
hashlookup:children-total | 186 |
hashlookup:trust | 50 |
The searched file hash includes 186 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/convolve_util.pyo |
FileSize | 1486 |
MD5 | FC4CEE637525695D4C686E779A270846 |
SHA-1 | 0272BBE1F1A160BC211EECFEB9C3198731422750 |
SHA-256 | 6DF94580978D74D0916E00650711232432CF25B38EA3309C83324D847EB5F26C |
SSDEEP | 24:8qH1nUMkU6XPcyRIUQU7qBEL6rfLRZBwzLWi4SsClZ3dVW7dNFtSD9EpZtV3Z2m:8qHNUMwPBhQNWLKLRZp6P2PCYZrf |
TLSH | T1B5312F006BF848EFD069563590B24603D668F9F6A2017712AB6CE2F40EC6B33D3363C9 |
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/lib/python2.7/site-packages/aplpy/tests/baseline_images/tick_labels_options.png |
FileSize | 27724 |
MD5 | 33AE398BB8B2E168161CD3976BCD7486 |
SHA-1 | 02CB76C2A68D224A6570615DDA08D8DE33E87174 |
SHA-256 | C9C2C955C978BECC4A46788362BF9D38D64D912C879A44E6DC9E02D49CB8D96F |
SSDEEP | 768:CKyf16VR9fmsfmihS5Z5uiYnJuu4rTP4/DFGcsXB:CVAvmsLkuJJuuWTIgn |
TLSH | T191C25C64C04ED457D23E34FCD41E4FBC332950A2946723E61BB54E24AC97BB8CF92586 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/tests/baseline_images/recenter.png |
FileSize | 30436 |
MD5 | 9FBE28F6707E63B2E002D8AA51BBA840 |
SHA-1 | 02F651EB606CA925F1D3879DCE918FF0F5C3C447 |
SHA-256 | 5122BC501D31D36C65E3FD926A0C135B7F47877C801D7A7BCB4029C19D143545 |
SSDEEP | 768:D1PrNoUGSx9fapiTNRFWp6SE/p0IX9Vt0:DNSax9fWEx0kz0 |
TLSH | T11BD23BE4CE0B19E1E07E1475DCB50F55B29C549FE0C6AAE21BDE2A316B4393B0BAD443 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/tests/test_downsample.pyo |
FileSize | 724 |
MD5 | 324AA996FA75C80C408E418544C58902 |
SHA-1 | 04192D15B35F581D99BD9C710E677B9AF4C5050B |
SHA-256 | 68E91056333218C368589FE56128200B7FAC9AF4EDD77B9A62EC65124797E337 |
SSDEEP | 12:qkaU664Fjak/46n3tJlIKb2ZFNE0gsmuYfi9V+8uRsEOV062uYfi92t3:SU66gQE3tkKQNE5fCCFh |
TLSH | T14E0199C1B7FA0587D2983430D0310327B966F8B7A28177071674B13D3ECD36A582A3C2 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/tests/test_scalebar.pyo |
FileSize | 4650 |
MD5 | 36F5FE5C1EE78AED77C9807971DE03A6 |
SHA-1 | 04736DB62DBF476C4AACE5091B9099132DD727E7 |
SHA-256 | 047B5DD6ED8E93F2D484E50417A482CD2538A40D53C87C8540D9FC9FEBB5EAFC |
SSDEEP | 48:kh3H7ZISDxhhGjvHhVm/PnbVmsseM5qgR9TJeovf3obKeVQ+I99Hley9xYuDibga:2b5vhGjXqbV234wFkA0KkOjwS2bjhJ |
TLSH | T15FA13780A7F35D5FDAB0257681E023179E3AF5F3690A7B13217C21792E88199C4EA3D2 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/aplpy/tests/test_colorbar.py |
FileSize | 2170 |
MD5 | 9137A2D0FF6052AA04B1F5FEAE9D4F37 |
SHA-1 | 04A2A4FDCAADC19D923B29352D795958AA5B897C |
SHA-256 | 83C5F0DE8DEAF86E844B3AE306E24DF3EC61486B755C0C778B80E07009D252E5 |
SSDEEP | 48:C7jbJdMr59jrBoKPBoEhBoCuBo3JBokDBoWTABoMGFhtfcI:ucbyShtfcI |
TLSH | T1E7412C97F6390D3A678348DD8873E9050406786327599A6D77DDF9000FED2BBE87222D |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/grid.pyo |
FileSize | 12713 |
MD5 | 16EDE0E3134F7CEACE112D4C91E21BC5 |
SHA-1 | 050B4D707A94535DFDE8709B7C0FE423C9173624 |
SHA-256 | B5FACE47FFF156BAFA62DB159A144296C5303E0BEDD1421B8AB1C01C241245B1 |
SSDEEP | 192:shJdC7tXwl0mNSKl4dKzRVavHiB6h7GONkxXxBXfU/vYZepFl+TACrAoW3H:srdC7xjNkDBXf+YZep/+TAuAv |
TLSH | T1DC421E4167A29AABD4619430B1F45607F9B2E5FB92462B5037FCE1312FD9B18C42B3C6 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/tests/test_pixworld.pyc |
FileSize | 3071 |
MD5 | AFAB60D6EF22671BB742BA444A164921 |
SHA-1 | 083CC2D81183F1FB74DC2400A6D5259A6622D137 |
SHA-256 | C5FBEBC332BBD08F4974D9089F38C88004A6F013491A7DA943B53D2325669D4F |
SSDEEP | 48:iLA0JoJDZY3yAgXqG2JGujj4zRnegMiVemkcHRl7I0GSL:Z0JSQyL52JGujGRNwvSL |
TLSH | T1835121D1A3DA8C6BC6A46036B1F0462BDE7AF0B76205A742236CE4753DD8766C0673C6 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/APLpy-1.0-py2.7.egg-info/SOURCES.txt |
FileSize | 3153 |
MD5 | 2F499E13F140A1AB1C191CB2082A53AE |
SHA-1 | 0B6695840A30DC3B642F457FBB9D6745D5F87B90 |
SHA-256 | 483A001754FCF42BCB9B1DB40C7F49BD1055AEBF1CB5FE3D72051196027B96E9 |
SSDEEP | 96:wS+0Xf7pze0admi96ek6JLF7mQtIx+4Vv4/7DrSbA554Qprosi4/Y/:whC7pze0admi96ek6JLF7mQtIx+4Vv42 |
TLSH | T1E85174C635632D6785A6E460D7E31EABF253FCBEE100F74851DC70E86AC2543639A4C8 |