aplpy.readthedocs.io

APLpy documentation — aplpy v1.0

This is the documentation for APLpy. The APLpy homepage is located at http:/ aplpy.github.com. Slicing multi-dimensional data cubes. How to slice data cubes. APLpy in non-interactive mode. APLpy : Astronomical Plotting Library in Python. Files, output[, north, .]). Make an RGB data cube from a list of three FITS images. Data, output[, indices, .]). Make an RGB image from a FITS RGB cube or from three FITS files. Package, test path, args, plugins, .]). Run the tests using py.test.

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This is the documentation for APLpy. The APLpy homepage is located at http:/ aplpy.github.com. Slicing multi-dimensional data cubes. How to slice data cubes. APLpy in non-interactive mode. APLpy : Astronomical Plotting Library in Python. Files, output[, north, .]). Make an RGB data cube from a list of three FITS images. Data, output[, indices, .]). Make an RGB image from a FITS RGB cube or from three FITS files. Package, test path, args, plugins, .]). Run the tests using py.test.

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APLpy documentation — aplpy v1.0 | aplpy.readthedocs.io Reviews

https://aplpy.readthedocs.io

This is the documentation for APLpy. The APLpy homepage is located at http:/ aplpy.github.com. Slicing multi-dimensional data cubes. How to slice data cubes. APLpy in non-interactive mode. APLpy : Astronomical Plotting Library in Python. Files, output[, north, .]). Make an RGB data cube from a list of three FITS images. Data, output[, indices, .]). Make an RGB image from a FITS RGB cube or from three FITS files. Package, test path, args, plugins, .]). Run the tests using py.test.

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aplpy.readthedocs.io

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make_rgb_cube — aplpy v1.0

http://aplpy.readthedocs.io/en/stable/api/aplpy.make_rgb_cube.html

Make an RGB data cube from a list of three FITS images. This method can read in three FITS files with different projections/sizes/resolutions and uses Montage to reproject them all to the same projection. Two files are produced by this function. The first is a three-dimensional FITS cube with a filename give by. Where the third dimension contains the different channels. The second is a two-dimensional FITS image with a filename given by. The filename of the output RGB FITS cube. 122 Last built 18 Feb 2015.

2

Beginner Tutorial — aplpy v1.0

http://aplpy.readthedocs.io/en/stable/quickstart.html

The following tutorial will take you, step by step, through the main features of APLpy. You will need to download the following file. First, unpack the example files and go to the. Tar -xvzf tutorial.tar.gz cd tutorial. Now, start up. Ipython - pylab and import the ` aplpy` module as follows: import aplpy. To start off, use the. Class to create a canvas to where your data will be plotted:. And display the image using a grayscale stretch:. Use the following command to show a colorscale image instead:.

3

Slicing multi-dimensional data cubes — aplpy v1.0

http://aplpy.readthedocs.io/en/stable/slicing.html

Slicing multi-dimensional data cubes. Slicing multi-dimensional data cubes. How to slice data cubes. APLpy supports extracting a slice from n-dimensional FITS cubes, and re-ordering dimensions. The two key arguments to. To control this are. These arguments can also be passed to. Argument is used to specify which dimensions should be used for the x- and y-axis respectively (zero based). The default values are. To flip the axes. For a FITS cube with R.A., Declination, and Velocity,. Means that pixel slices...

4

Colorbar — aplpy v1.0

http://aplpy.readthedocs.io/en/stable/api/aplpy.Colorbar.html

Set axis label font. Family, style, .]). Set the font of the tick labels. Set axis label pad. Set the colorbar label displacement, in points. Set axis label rotation. Set the colorbar label rotation. Set axis label text. Set the colorbar label text. Box[, box orientation]). Set the box within which to place the colorbar. Family, style, variant, stretch, .]). Set the font of the tick labels. Set the color of the colorbar frame, in points. Set the linewidth of the colorbar frame, in points. Args, * kwargs).

5

Installing Montage — aplpy v1.0

http://aplpy.readthedocs.io/en/stable/howto_montage.html

Montage is a package developed by IPAC designed to handle the reprojection of FITS files. APLpy relies on Montage for several functions, such as. To use these features, Montage needs to be installed. Obtaining and installing Montage. Montage can be downloaded from http:/ montage.ipac.caltech.edu/docs/download.html. Installation instructions are provided at http:/ montage.ipac.caltech.edu/docs/build.html. Once Montage is correctly installed, you are ready to use the Montage-dependent features of APLpy!

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Astropy | Affiliated Packages

http://www.astropy.org/affiliated/index.html

A major part of the Astropy project is the concept of Affiliated Packages . An affiliated package is an astronomy-related Python package that is not part of the astropy core package, but has requested to be included as part of the Astropy project’s community. These packages are expressing an interest in Astropy’s goals of improving reuse, interoperability, and interface standards for python astronomy and astrophysics packages. APLpy (the Astronomical Plotting Library in Python) is a Python module aimed a...

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A plot generated by APLpy using 2MASS data. 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. Make plots interactively or using scripts. Show grayscale, colorscale, and 3-color RGB images of FITS files. Git clone git:/...

aplpy.readthedocs.io

APLpy documentation — aplpy v1.0

This is the documentation for APLpy. The APLpy homepage is located at http:/ aplpy.github.com. Slicing multi-dimensional data cubes. How to slice data cubes. APLpy in non-interactive mode. APLpy : Astronomical Plotting Library in Python. Files, output[, north, .]). Make an RGB data cube from a list of three FITS images. Data, output[, indices, .]). Make an RGB image from a FITS RGB cube or from three FITS files. Package, test path, args, plugins, .]). Run the tests using py.test.

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