Key | Value |
---|---|
MD5 | 495747D7B5795E5CF77FB09F646A5B32 |
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 | python3-APLpy |
PackageRelease | 1.fc22 |
PackageVersion | 1.0 |
SHA-1 | 04574B2F4FA6FAC7EFB56271C7A8ACCEE781CAD7 |
SHA-256 | C2BF0C9FC9CB01CE07D495501F46EB3334B5EB354B0BF5E1F819A697E484822A |
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/python3.4/site-packages/aplpy/tests/__pycache__/test_init_cube.cpython-34-PYTEST.pyc |
FileSize | 4163 |
MD5 | FA48911BF7829CCBCFE0E89672DFD44E |
SHA-1 | 01B5CCFC7BC12F48547B02DCF9B171DDCF546DFE |
SHA-256 | 644F5E2909E75DE06DE5D71FC3E7AC09770E44ADD1A7499D38030FDE0903C726 |
SSDEEP | 96:CLnIRDEEyJj+RV5VHKoVvKsIE1sUR0fxR/ypx9:ACDEETb5VqwvKsIECUR0fxRyp/ |
TLSH | T16081EDD1B7C2895FF964F3F6D87813155FAAF6626F18B72212B0D03D3EC16884862398 |
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/python3.4/site-packages/aplpy/tests/__pycache__/test_frame.cpython-34-PYTEST.pyc |
FileSize | 1096 |
MD5 | EFFC1FD6F5B45A4468650F93B12E3C5B |
SHA-1 | 03CF78C7AFC0D44B3BEC31B5218C920A0005F952 |
SHA-256 | B4C6ECD927895F0F78328A8945F76327E935B3C41C6DAA18DE6E10305CFDE24A |
SSDEEP | 24:hkGhB/0O0uJpQBoZaFpLMx0O6jHo+0xHMA5uW0NIpG:hF0yWoZupLMj6jBssA5ul4G |
TLSH | T1DC11AFD3A3C6864BF480F273D0B02305AD7AE9B67A12A71312F0A4787FC20E00472247 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.4/site-packages/aplpy/tests/__pycache__/test_images.cpython-34-PYTEST.pyc |
FileSize | 6812 |
MD5 | 6CADDC23704EE75B7BC6C9D51154DF03 |
SHA-1 | 04338BF7D73A4C0172031DE05A73BFE84A395EA8 |
SHA-256 | 33D2D76CE7960CE5AB29554B372D3B8D9FE9A5626216C213D210AA5D972647AD |
SSDEEP | 192:RvMRyR6muQEk1ljCS4uXfd88Zk6R8FA11i88T+:RvMRyR6muQEkDCPuvd88Z3R8q1Q88T+ |
TLSH | T1B2E1B9D153826A4FF491F1B5D07C6710DCB5E9AFAB109B1276FCE13DABC8B80A8A1146 |
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/python3.4/site-packages/aplpy/tests/__pycache__/test_downsample.cpython-34.pyo |
FileSize | 597 |
MD5 | BE02D891118D9BEEF2497E9B555AC1F1 |
SHA-1 | 06DDD77EB748CCF3F508C567C1024AAAFEF4BFCF |
SHA-256 | 04ED4D36C710644F0818FFB726FB170D001FE2FF835FD6A985BA45DB8B114862 |
SSDEEP | 12:/81UsJpBWMb+Kk/46n3tJle9qZH06XruL/EF9k8uRsODjW/yQs0OcCqqb3:/8UaB4QE3tV0agx3WqcCqqT |
TLSH | T102F08BC16756058BE5A8B2B4C05403132966F898A711A7061B75A23D3FC629A4C52286 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.4/site-packages/aplpy/__pycache__/header.cpython-34.pyo |
FileSize | 2040 |
MD5 | 0013D8753310287848FE68B5E160C1E2 |
SHA-1 | 087075383BF0ED7E7E0E09A65AB5FC75ADDE15EF |
SHA-256 | C1B8749D02FDB271825E82BAE8D23B654C5F8D2B1D2821F1E5392FB653365CFA |
SSDEEP | 24:xc/nWEP+llaOTZKkER8Q9Ca5tQoYEInUVkN5NLzHtlp9+OmCgjlElIc1NtIxGuoJ:xtmarlKZQzCaNtmq1NGGuoLE3VRqqK |
TLSH | T1764101CE03CCCFCAE12AC0B0F178165253B7BEAAA6124691BA5CD1733BD1728165368C |
Key | Value |
---|---|
FileName | ./usr/lib/python3.4/site-packages/aplpy/tests/__pycache__/test_axis_labels.cpython-34-PYTEST.pyc |
FileSize | 2507 |
MD5 | D5C267929361090EF94C13DD5AF12589 |
SHA-1 | 08828DE37892EABD6D472D4E3DC0F84626C63467 |
SHA-256 | 9E5E805D29B644F570967A1019317CFB4A66953912D07D155E747C2220CBB5CA |
SSDEEP | 48:HCg/Qd0rBdpLxK1XjeQxgPgROej8bkellOPqFOlk:iGtrBr1izeQcgRO/umOlk |
TLSH | T15351DC8367C2950FF981F2B7D13203156E7AEAA53B81B31B2AF0E8696EC41D448A2142 |