galpy | Galactic Dynamics in python | Animation library
kandi X-RAY | galpy Summary
kandi X-RAY | galpy Summary
If you are interested in contributing to galpy's development, take a look at [this brief guide] on the wiki. This will hopefully help you get started!.
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Top functions reviewed by kandi - BETA
- Animation animation .
- Parse the pot .
- Plot a scatter plot .
- Plot a 2D density matrix .
- Plot an Isochrone potential .
- Wrapper for _vm_vomentdensity .
- Determine impact coordinate .
- Calculates the margin of xy .
- Decorator to convert quantities to physical units .
- Calculate the OortK decomposition .
galpy Key Features
galpy Examples and Code Snippets
Community Discussions
Trending Discussions on galpy
QUESTION
I just discovered galpy and went all day through documentation and examples but I am still a little confused about the possibility to integrate an orbit without specifying the set of times.
A simple example present in the documentation reads:
...ANSWER
Answered 2020-Nov-02 at 11:25If the documentation doesn't say such an interface exists, you can probably assume it doesn't, though a quick look at the code confirms this. In any case, even if such a shortcut existed the integrator functions themselves still require an array of time steps to integrate over, so this would be just a shortcut.
Even if you just wanted to specify "an amount of time" you would still need to also provide a time step, though you could also have a default time step. You could write your own shortcut function like:
QUESTION
I used conda to install the galpy package as follows:
conda install galpy -c conda-forge
It installed and updated a number of packages along the way:
The following NEW packages will be INSTALLED:
...ANSWER
Answered 2018-Nov-20 at 18:08It seems that you have to specify the same channel that you were using when installing. In this case:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install galpy
You can use galpy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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