Python Tutorial: Exoplanet and Star Data Analysis скачать в хорошем качестве

Python Tutorial: Exoplanet and Star Data Analysis

Find the code files here: https://github.com/whatdamath/spaceen... Hello and welcome to What Da Math! In this video, we will talk about analysis exoplanet data with Python Links: https://exoplanetarchive.ipac.caltech... https://exoplanets.nasa.gov https://seaborn.pydata.org/examples/h... 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) Support this channel on Patreon to help me make this a full time job:   / whatdamath   Space Engine is available for free here: http://spaceengine.org Enjoy and please subscribe. Twitter:   / whatdamath   Facebook:   / whatdamath   Twitch:   / whatdamath   Bitcoins to spare? Donate them here to help this channel grow! 1GFiTKxWyEjAjZv4vsNtWTUmL53HgXBuvu