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Spectral Cube documentation — spectral_cube v0.4.1.dev1295

Spectral cube v0.4.1.dev1295. The spectral-cube package provides an easy way to read, manipulate, analyze, and write data cubes with two positional dimensions and one spectral dimension, optionally with Stokes parameters. It provides the following main features:. A uniform interface to spectral cubes, robust to the wide range of conventions of axis order, spatial projections, and spectral units that exist in the wild. Easy extraction of cube sub-regions using physical coordinates.

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Spectral Cube documentation — spectral_cube v0.4.1.dev1295 | spectral-cube.readthedocs.io Reviews

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Spectral cube v0.4.1.dev1295. The spectral-cube package provides an easy way to read, manipulate, analyze, and write data cubes with two positional dimensions and one spectral dimension, optionally with Stokes parameters. It provides the following main features:. A uniform interface to spectral cubes, robust to the wide range of conventions of axis order, spatial projections, and spectral units that exist in the wild. Easy extraction of cube sub-regions using physical coordinates.

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Spectral Cube documentation — spectral_cube v0.4.1.dev1295 | spectral-cube.readthedocs.io Reviews

https://spectral-cube.readthedocs.io

Spectral cube v0.4.1.dev1295. The spectral-cube package provides an easy way to read, manipulate, analyze, and write data cubes with two positional dimensions and one spectral dimension, optionally with Stokes parameters. It provides the following main features:. A uniform interface to spectral cubes, robust to the wide range of conventions of axis order, spatial projections, and spectral units that exist in the wild. Easy extraction of cube sub-regions using physical coordinates.

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spectral-cube.readthedocs.io

1

Moment maps and statistics — spectral_cube v0.4.1.dev1320

http://spectral-cube.readthedocs.io/en/latest/moments.html

Spectral cube v0.4.1.dev1320. Moment maps and statistics. Moment maps and statistics. Producing moment maps from a. By default, moments are computed along the spectral dimension, but it is also possible to pass the. Argument to compute them along a different axis:. Moment 0 along x. These follow the mathematical definition of moments, so the second moment is computed as the variance. For linewidth maps, see the Linewidth maps. The moment maps returned are. Instances, which act like.

2

Installing spectral-cube — spectral_cube v0.4.1.dev1320

http://spectral-cube.readthedocs.io/en/latest/installing.html

Spectral cube v0.4.1.dev1320. This package has the following dependencies:. 27 or later (Python 3.x is supported). Optional (speeds up median and percentile operations on cubes with missing data). To install the latest stable release, you can type:. Or you can download the latest tar file from PyPI. And install it using:. If you want to install the latest developer version of the spectral cube code, you can do so from the git repository:. You may need to add the. 153 Last built 14 Mar 2017.

3

Accessing data — spectral_cube v0.4.1.dev1320

http://spectral-cube.readthedocs.io/en/latest/accessing.html

Spectral cube v0.4.1.dev1320. Once you have initialized a. Instance, either directly or by reading in a file, you can easily access the data values and the world coordinate information. You can access the underlying data using the. Array which is a Numpy-like array:. The order of the dimensions of the. Array is deterministic - it is always. Irrespective of how the cube was stored on disk. Indicates that the data is the raw original data from the file. 328912670e 04 3.32233342e 04] m / s. More generally, ...

4

Creating/reading spectral cubes — spectral_cube v0.4.1.dev1320

http://spectral-cube.readthedocs.io/en/latest/creating_reading.html

Spectral cube v0.4.1.dev1320. Class is used to represent 3-dimensional datasets (two positional dimensions and one spectral dimension) with a World Coordinate System (WCS) projection that describes the mapping from pixel to world coordinates and vice-versa. The class is imported with:. Reading from a file. To read in a file, use the. This will always read the Stokes I parameter in the file. For information on accessing other Stokes parameters, see Stokes components. Files See the Handling large datasets.

5

Quick Looks — spectral_cube v0.4.1.dev1320

http://spectral-cube.readthedocs.io/en/latest/quick_looks.html

Spectral cube v0.4.1.dev1320. Once you’ve loaded a cube, you inevitably will want to look at it in various ways. Slices in any direction have. The same can be done with moments:. Package comes with a GUI that has a simple matplotlib image viewer. To activate it for your cube:. 153 Last built 14 Mar 2017.

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Spectral Cube documentation — spectral_cube v0.4.1.dev1295

Spectral cube v0.4.1.dev1295. The spectral-cube package provides an easy way to read, manipulate, analyze, and write data cubes with two positional dimensions and one spectral dimension, optionally with Stokes parameters. It provides the following main features:. A uniform interface to spectral cubes, robust to the wide range of conventions of axis order, spatial projections, and spectral units that exist in the wild. Easy extraction of cube sub-regions using physical coordinates.

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