How to use stellar data from SDSS/MaStar library using Python

In this video, we will be dealing with the SDSS/MaNGA Stellar Library catalog file using Python 3.7 which can be downloaded from the link below.

Link to the dataset used: https://bit.ly/3BWqKbh

GitLab repository: https://gitlab.com/noonu/astrophysicsandpython-1/-/tree/master/stars

The python libraries used in this script are
1. Astropy
2. Matplotlib (pyplot and color submodule)
3. Numpy
4. Pandas
5. Seaborn
6. Warnings

The parameters of interests will include the
1. Effective temperature of the star,
2. The log surface gravity value of the star, and the
3. Survey source from where the data has been assembled in the catalog file.

We will explore the data using simple statistics (min, max, mean, median etcetera), the histograms, box-whiskers plots, scatter plots, 2D histograms, and a pair-plot.

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Citations:
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The MaNGA Stellar Library Overview paper
https://arxiv.org/abs/1812.02745

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