import pods
pods.notebook.display_google_book(id='JBw4AAAAMAAJ', page='GBS.PA280') 

"""
Explanation: Datasets: Celestial Observations of the Planet Ceres
Open Data Science Initiative
13th November 2014 Neil D. Lawrence
This data set consists of obervations of the <a href="http://en.wikipedia.org/wiki/Ceres_(dwarf_planet)">dwarf planet Ceres</a> collected by Guiseppe Piazzi from 1st January 1801 to 11th February 1801. The data was published in the September 1801 edition of Monatliche Correspondenz, a volume of astronomical correspondence edited by Franz Xaver von Zach, the Hungarian astronomer who, with the aid of orbital predictions from a 24 year old Carl Friederich Gauss, was able to recover the 'lost planet' in early 1802.
Monatliche Correspondenz
First, here is the volume where the data was originally published.
End of explanation
"""


data = pods.datasets.ceres()['data']
data.describe()

right_ascension = data['Gerade Aufstiegung in Graden']
declination = data['Geocentrische Laenger']
import matplotlib.pyplot as plt
%matplotlib inline
plt.plot(right_ascension, declination, 'rx')
plt.xlabel('right ascension')
plt.ylabel('declination')


"""
Explanation: The data can be accessed as a pandas data frame through
End of explanation
"""


pods.notebook.display_google_book(id='JBw4AAAAMAAJ', page='GBS.PA647')

"""
Explanation: Gauss's Prediction
And you can now attempt to make a prediction, as Gauss did, of the orbital position of the dwarf planet in late 1801.
End of explanation
"""


