Find the code files here: https://github.com/whatdamath/spaceengine

Hello and welcome to What Da Math! In this video, we will talk about analysis exoplanet data with Python

Links: https://exoplanetarchive.ipac.caltech.edu/ https://exoplanets.nasa.gov https://seaborn.pydata.org/examples/horizontal_boxplot.html Code: %matplotlib inline import numpy as np import seaborn as sns import matplotlib.pyplot as plt import pandas as pd planets = pd.read_csv("planets.csv", sep=',') sns.set(style="ticks")

Initialize the figure with a logarithmic x axis

f, ax = plt.subplots(figsize=(7, 6)) ax.set_xscale("log")

Load the example planets dataset

#planets = sns.load_dataset("planets")

replace pl_pnum and st_mass with other column names

sns.boxplot(x="pl_pnum", y="st_mass", data=planets)

Add in points to show each observation

sns.swarmplot(x="pl_pnum", y="st_mass", data=planets, size=2, color=".3", linewidth=0)

Tweak the visual presentation

ax.xaxis.grid(True) ax.set(ylabel="") sns.despine(trim=True, left=True)

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Space Engine is available for free here: http://spaceengine.org Enjoy and please subscribe.

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1GFiTKxWyEjAjZv4vsNtWTUmL53HgXBuvu ... https://www.youtube.com/watch?v=Lu31biXStWQ