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توضیحات

A python package for astronomy educators

ویژگی	مقدار
سیستم عامل	-
نام فایل	astroedu-0.4.3a0
نام	astroedu
نسخه کتابخانه	0.4.3a0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Dimitrios Theodorakis
ایمیل نویسنده	astrodimitrios@gmail.com
آدرس صفحه اصلی	https://github.com/astroDimitrios/astroedu
آدرس اینترنتی	https://pypi.org/project/astroedu/
مجوز	-

<center> <img width="100%" src="https://raw.githubusercontent.com/astroDimitrios/astroedu/e2d3007b867c3f5ac34d6bf4b2ca2f02aa38d824/assets/logo/astroeduLOGOtag.svg" alt='AP Logo'> </center> [![PyPI version](https://badge.fury.io/py/astroedu.svg)](https://badge.fury.io/py/astroedu) [![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.0-4baaaa.svg)](code_of_conduct.md) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5270399.svg)](https://doi.org/10.5281/zenodo.5270399) **Alpha** A package containing small interactives, datasets, functions etc for teaching astronomy. Contributors: - Dimitrios Theodorakis - Ankit Barik, planetMagFields module, [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4706157.svg)](https://doi.org/10.5281/zenodo.4706157), [github.com/AnkitBarik/planetMagFields](github.com/AnkitBarik/planetMagFields) ## Installation To install **astroedu** run ``` pip install astroedu ``` or with [conda](https://anaconda.org/conda-forge/astroedu) ``` conda install -c conda-forge astroedu ``` ## Current Functionality ### Interactives ``` astroedu interactive wiens_law ``` Loads the interactive notebook file exploring Wien's Law. Jupyter lab arguments can be passed after the interactive name for instance: ``` astroedu interactive wiens_law --port 9999 ``` ### Datasets To use a data set import the utitlity function ```load_data``` from the datasets module: ``` from astroedu.datasets import load_data ``` Then you can load a data set by passing its name as a string to ```load_data```. ``` planets = load_data('planets') ``` The function returns a Pandas dataframe. If the optional keyword argument ```info``` is ```True``` then a brief explanation of the data is printed before the dataframe is loaded. ### Constants Astropy like constants for ease of access. For full functionality use the astropy [constants](https://docs.astropy.org/en/stable/constants/) submodule. ``` >>> from astroedu.constants import c >>> c Constant(c, 299792458, m/s, Speed of light) ``` or ``` >>> import astroedu.constants as const >>> print(const.c) Name = Speed of light Value = 299792458 Unit = m/s ``` Constants can perform simple maths with other constants or int/float/np.array. The returned value is an int/float/np.array not a Constant class instance: ``` >>> from astroedu.constants import c, m_e >>> c*m_e 2.7309245302881346e-22 ``` ### Functions Some basic functions have been implemented: ``` >>> from astroedu.functions import wiens_law >>> wiens_law(1000) 2.897771955e-06 ``` You can use the **get_sun()** function to quickly display images of the Sun if you have [SunPy](https://sunpy.org/) installed. ``` # From the command line: astroedu get_sun # plots today's Sun astroedu get_sun 2022/02/02 # plots Sun on diff date than today astroedu get_sun save # plots then saves image astroedu get_sun 2022/02/02 save ``` ``` # In .py or IPython >>> from astroedu.functions import get_sun >>> get_sun() # plots today's Sun >>> get_sun('2022/02/02') # plots Sun on diff date than today >>> get_sun('2022/02/02', save=True) # plots then saves image ``` Before you can save anything run: ``` astroedu build ``` in the terminal. This creates a **config.ini** file which contains paths to your astroedu install and Documents directory. The **get_sun()** function will create the directory ***astroedu*** in your Documents directory if it doesn't exist and save files there. ### Classes Some classes which are hopefully useful! ##### Body2D The Body2D class is the main body class for planets and other objects. Usage - ```Body2D(str-name, float-x pos in AU, float-y pos in AU, float-radius in km, float-mass in kg)``` for instance: ``` >>> from astroedu.classes import Body2D >>> moon = Body2D('Moon', 0, 0, 1737.4, 0.07346*10**24) >>> print(moon) Moon at (0.00, 0.00) AU with r = 1.74E+03 km and m = 7.35E+22 kg ``` There are pre-defined class methods for the Earth, Sun, and Moon: ``` >>> from astroedu.classes import Body2D >>> moon = Body2D.Moon(0, 0) >>> print(moon) Moon at (0.00, 0.00) AU with r = 1.74E+03 km and m = 7.35E+22 kg ``` The class has built in methods. For instance to calculate the tides on the Earth due to the Moon: ``` >>> from astroedu.classes import Body2D >>> earth = Body2D.Earth(0, 0) >>> moon = Body2D.Moon(384400000/au, 0) >>> forces = earth.tides(moon, step=0.25, scale=5.972*10**24) ``` Documentation coming soon. More methods will be added at a later date including calculating gravitational potentials and plotting tides & potentials. ## Submodules ### planetMagFields planetMagFields by Ankit Barik. [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4706157.svg)](https://doi.org/10.5281/zenodo.4706157), [github.com/AnkitBarik/planetMagFields](github.com/AnkitBarik/planetMagFields) See Ankit's GitHub for usage. Note: cartopy is required for some plots which requires these packages to be installed, [GEOS](https://trac.osgeo.org/geos/) and [PROJ](https://proj.org/). Some functions also require other libraries such as SHTns (no Windows version) and PyEVTK, see Ankit's GitHub for more info. Since the dataset location is defined relative to the astroedu install there is no need to specify a datDir for instance: ``` >>> import matplotlib.pyplot as plt >>> from astroedu.planetmagfields import * >>> p = planet(name='jupiter') >>> # not p = planet(name='jupiter',datDir='planetmagfields/data/') >>> p.plot(r=0.85,proj='Mollweide') >>> plt.show() ```

نیازمندی

مقدار	نام
>=1.20.0	numpy
>=1.6.0	scipy
>=3.3.0	matplotlib
>=1.1	pandas
>=3.0.0	jupyterlab
>=7.6.0	ipywidgets
>=0.4.0	fire
>=5.1.2	importlib-resources

زبان مورد نیاز

مقدار	نام
>=3.7	Python

نحوه نصب

نصب پکیج whl astroedu-0.4.3a0:

pip install astroedu-0.4.3a0.whl

نصب پکیج tar.gz astroedu-0.4.3a0:

pip install astroedu-0.4.3a0.tar.gz