Key | Value |
---|---|
MD5 | 71A78455E995B772D270D50BF984CA96 |
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 | 1.fc21 |
PackageVersion | 0.9.13 |
SHA-1 | A4B355709E308203537808FBF488B4158986D8AB |
SHA-256 | E489929F4CF0E98484594E724DD459BFE4C6B01D496A45A903979DBAEB47215C |
hashlookup:children-total | 177 |
hashlookup:trust | 50 |
The searched file hash includes 177 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/tests/__pycache__/test_misc.cpython-27-PYTEST.pyc |
FileSize | 2608 |
MD5 | BDA23D7A689C4024029A98B58B6C2C99 |
SHA-1 | 0123FCB6DB35511BAAEC1AB4BADFF81BEE7462CF |
SHA-256 | 65F4B173710E0AB118EB8F11A948713665884B2C49441B5E5C42D564789187E8 |
SSDEEP | 48:x7F9aAi5ONOhY5NaOwwub9C/rNEZl7SBDqpLsQyApLsBn:AAFNpNaHwub9C/rNyJSEXyE0 |
TLSH | T1EF5112A463C59427F4B8613C827A4307FFA6ED768412674349F3E0D13AEEBB8151FA81 |
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_wcs_util.pyo |
FileSize | 2786 |
MD5 | 59D1F5336F81ED2668CC61040129C85B |
SHA-1 | 03A1CE5612AB8D20B7678564B1D0F762BBE70A58 |
SHA-256 | 853B154684300232D0D6043E5CE6EC6EFDD48946B3086030CC164AB511824666 |
SSDEEP | 48:zY+xh0qUI0c+ALR6E9+xYCRsRPuRjR7dIHRBIBrR3:z4c0hO9onL |
TLSH | T1AC51F0C0D7F78D1BCA356631E2E10217AE29F2B76A117711A66CA07528C434BDCAF3C4 |
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/tests/__pycache__/test_wcs_util.cpython-27-PYTEST.pyc |
FileSize | 4244 |
MD5 | C421B53B93DFC1514BCF2D2A7BF97441 |
SHA-1 | 04AD6D97ABA751558B8468DC215173004EF861A4 |
SHA-256 | 67653B5156F991FEC6E841052A0ECEF6E9F70DD001E8817F83B2AC8EF6496C1B |
SSDEEP | 48:ZICFYh0qUI0c+AapLsR6E9+xYVpLsRv1El+BlpLsR5ZpLsR81BnUh++AYpLsR7Pj:NPc0hpu9/81EMdaL1BUcasvH/dhu1gD |
TLSH | T1FE9140D683E69E27C5256535E5F00213EE6AF277D401A3236679E07025CAB9AE87F3C0 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/tests/test_pixworldmarkers.pyc |
FileSize | 3015 |
MD5 | 706CA33B75940D08A0111C0CAF862F1A |
SHA-1 | 050ABB675646E965E531787E93A6F00A4E5E92AC |
SHA-256 | 8CAA3D7B530BBB46C2812C41FBD98970BD906531AAD1B812083C7779BEC9AAE9 |
SSDEEP | 48:eAL3TvGIQDZ47OUSYk8brIn3Rsmt6eSiVYEa4ZKSiaIgpZVS8h:HPGfS7OUSQbrE2YuFEMSUgNS8h |
TLSH | T16B51EDD1E7E68C6BC0E4623EA1B0470B9D59F6F25505A34311A8E9B93DC437AC46A7C4 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/tests/test_pixworld.pyo |
FileSize | 2426 |
MD5 | D645306A0EC4A05CA19571F2ABDF4AB1 |
SHA-1 | 0680F66DC35E411C6EDA0248E264658CD37752A2 |
SHA-256 | 003317B6975D7D60F97862462396D6EDC29931AB26CC1DF214DACFBDEE5A44AD |
SSDEEP | 48:hLA0JoJDZY3yoGAGG5TzRx9iIYHFIVAGSL:20JSQyPAGG53RcuJSL |
TLSH | T1ED4146C1A7E68D5BC5645135E1F00217DD6AF1F36504A342222CE4793DD839AC43F7C6 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/aplpy/tests/test_save.pyo |
FileSize | 3604 |
MD5 | AF21222FBC1F3DE8F2655B09FF0C6F1E |
SHA-1 | 07B95EC5AB9D76579EE6AA833D382CDB3C097DAC |
SHA-256 | 59B14DCFE1CD0B7BB1720C40B43C41687D16B09A0AE9CF3E5249F762C0C6EFD3 |
SSDEEP | 96:Gm37+KQWzXPKu7VN+Sj7Jg7tWt5xtnggThQUki:YKQWzXPKuD+SjNgZGngihQU7 |
TLSH | T12671FCC1ABE18DA7D5E4417090F80707BD29F5F6A602774296FCE0792AC8356D09F3C6 |