SpiceyPy | SpiceyPy : a Pythonic Wrapper for the SPICE Toolkit | Map library

 by   AndrewAnnex Python Version: 6.0.0 License: MIT

kandi X-RAY | SpiceyPy Summary

kandi X-RAY | SpiceyPy Summary

SpiceyPy is a Python library typically used in Geo, Map applications. SpiceyPy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install SpiceyPy' or download it from GitHub, PyPI.

SpiceyPy: a Pythonic Wrapper for the SPICE Toolkit.
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            kandi-support Support

              SpiceyPy has a low active ecosystem.
              It has 323 star(s) with 85 fork(s). There are 29 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 7 open issues and 137 have been closed. On average issues are closed in 31 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of SpiceyPy is 6.0.0

            kandi-Quality Quality

              SpiceyPy has 0 bugs and 0 code smells.

            kandi-Security Security

              SpiceyPy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              SpiceyPy code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              SpiceyPy is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              SpiceyPy releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed SpiceyPy and discovered the below as its top functions. This is intended to give you an instant insight into SpiceyPy implemented functionality, and help decide if they suit your requirements.
            • Determine the coordinates of an observer to a target observer .
            • Evaluate a double precision value .
            • Calculate term - point interpolation .
            • Determine time intervals for an observer .
            • Write a type 2 DSK file .
            • Find the limb points for a given target position .
            • Determine the rays of a target ray on an observer .
            • Determine time intervals for a specified target position .
            • Determine the separation between two coordinate vectors .
            • Determine incidence angle and incidence angle .
            Get all kandi verified functions for this library.

            SpiceyPy Key Features

            No Key Features are available at this moment for SpiceyPy.

            SpiceyPy Examples and Code Snippets

            django processes interfering with each other
            Pythondot img1Lines of Code : 4dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            [uwsgi]
            processes = 4
            threads = 1
            
            How to structure Python library and path in the same way as MATLAB
            Pythondot img2Lines of Code : 22dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            Documents/
              startup.py
              PythonFunctions/
                FirstFunc.py
                SecondFunc.py
            
            __all__ = ['FirstFunc', 'SecondFunc']
            
            Documents/
              startup.py
              PythonFunctions/
                __init__.py
                FirstFunc.
            How do I get an indexed result list in an enumerated for loop
            Pythondot img3Lines of Code : 8dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            n = UTC.iloc[:,0] 
            ets = []
            
            for i, txt in enumerate(n):
            
                et = spice.str2et(n[i]) #calculates ephermis time for utc, 
                ets.append(et)
            
            How do I get an indexed result list in an enumerated for loop
            Pythondot img4Lines of Code : 3dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            n = UTC.iloc[:,0] 
            newList = [spice.str2et(txt) for txt in n]
            
            NASA spice tipbod spiceypy
            Pythondot img5Lines of Code : 37dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from astropy.time import Time
            from spiceypy import spiceypy as spice
            
            # create a time
            t = Time('2010-03-19 11:09:00', format='iso')
            
            # put in spice format - this may require a leap seconds kernel to be
            # downloaded, e.g. download https://n
            travis-ci build on Python3.4 six urllib won't install
            Pythondot img6Lines of Code : 29dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            language: go
            go:
              - 1.7
            addons:
              apt:
                sources:
                  - deadsnakes # source required so it finds the package definition below
                packages:
                  - python3.4
                  - python3.4-dev
            before_install:
              - go get github.com/axw/gocov/gocov
            

            Community Discussions

            QUESTION

            Propagated Solution of Lambert Solver Leads to Wrong Orbit
            Asked 2021-Apr-28 at 14:29

            Excuse me for the length of the title please but this is a pretty specific question. I'm currently simulating a launch of a rocket to mars in the 2022 launch window and I noticed that my rocket is a far distance away from Mars, even though it's traveling in the right direction. After simplifying my code to narrow down the problem, I simply plotted the orbits of the Earth and Mars (Using data from NASA's SPICE library) and propagated the position and velocity given to me by the lambert solver I implemented (Universal variables) to plot the final orbit of the rocket.

            I'm only letting the Sun's gravity effect the rocket, not the Earth or Mars, to minimize my problem space. Yet even though I've simplified my problem so far, the intersection between Mars' and my rocket's orbits happens well before the time of flight has been simulated all the way, and the minimum distance between the two bodies is more than a million kilometers at all times.

            That being said, something must be wrong but I cannot find the problem. I've made sure the lambert solver code I copied is correct by comparing it to Dario Izzo's method and both gave the same results. Furthermore, I've also checked that my orbit propagator works by propagating Mars' and the Earth's orbits and comparing those ellipses to the data from SPICE.

            In conclusion, I assume this must be a stupid little mistake I made somewhere, but cannot find because I lack experience in this field. Thank you for any help! :)

            This is the JupyterLab notebook I used:

            ...

            ANSWER

            Answered 2021-Apr-28 at 14:29

            So, I managed to figure out what the problem was after much head-scratching. I was simply not taking into account that the Sun is not located at (0,0,0) in my coordinate system. I thought this was negligible, but that is what made the difference. In the end, I simply passed the difference between the Earth and Mars's and the Sun's position vectors and passed those into the Lambert solver. This finally gave me the desired results.

            The reason that the error ended up being so "small" (It didn't seem like an obvious bug at first) was because my coordinates are centered at the solar system barycenter which is a few million kilometers away from the Sun, as one would expect.

            Thanks for the comments!

            Source https://stackoverflow.com/questions/67138655

            QUESTION

            django processes interfering with each other
            Asked 2020-May-09 at 11:47

            I think my problem might have something to do with the multi-threaded-ness of Django, but let me know what your thoughts are.

            I have a Django web project which will eventually be accessed by multiple users. Through the interface the users will be able to kick off calculations using a module called spiceypy. This is a module which allows you to compute relative position and velocity of planetary objects, spacecraft, etc.

            Spiceypy requires loading a 'kernel set' (aka 'kernel library') before performing the computations. The kernel set includes information about a spacecraft trajectory, among other things.

            In my project, different users might choose to use different kernel sets. I have a Django Form which allows you to select the kernel set, then perform the calculations.

            The calculations are done inside my Class Based View's post() method.

            So, the post method looks something like this.

            ...

            ANSWER

            Answered 2020-Feb-18 at 03:29

            I think the issue is with the spicepy library that you are using - spicepy is mixing up calls sent from different Django threads. Looks from this issue like it doesn't support multithreading.

            The way to verify this would be to disable threading in Django, and see whether that resolves the issue. How you do that depends on which wsgi server you are using in production. With uwsgi for example, you'd add this to your configuration:

            Source https://stackoverflow.com/questions/60267163

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install SpiceyPy

            You can install using 'pip install SpiceyPy' or download it from GitHub, PyPI.
            You can use SpiceyPy 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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install spiceypy

          • CLONE
          • HTTPS

            https://github.com/AndrewAnnex/SpiceyPy.git

          • CLI

            gh repo clone AndrewAnnex/SpiceyPy

          • sshUrl

            git@github.com:AndrewAnnex/SpiceyPy.git

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