00-Book-Dimension-Radar


00 - Book Rating Radar Plots


In [129]:
%matplotlib inline
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import numpy as np

In [130]:
ratings = pd.read_csv('ratings.csv')
ratings.columns = [x.replace('_', ' ') for x in ratings.columns]
ratings['plot_title'] = ratings.apply(lambda x: "{}\nby {}".format(x.Title, x.Author),
                                      axis=1)
ratings = ratings.set_index(['Author', 'Title'], drop=True)
ratings


Out[130]:
Immersive Plot Originality Prose Characters Enjoyment plot_title
Author Title
Neil Gaiman The Ocean at the End of the Lane 3 5 2 5 4 2 The Ocean at the End of the Lane\nby Neil Gaiman
Tom Sweterlitsch The Gone World 4 5 6 4 2 5 The Gone World\nby Tom Sweterlitsch
Michelle McNamara I'll Be Gone in the Dark 4 5 4 3 2 5 I'll Be Gone in the Dark\nby Michelle McNamara
Ted Chiang Exhalation: Stories 5 6 6 3 2 6 Exhalation: Stories\nby Ted Chiang
Neal Stephenson Fall, or Dodge in Hell 4 2 5 3 1 2 Fall, or Dodge in Hell\nby Neal Stephenson
Blake Crouch Recursion 4 5 5 4 4 5 Recursion\nby Blake Crouch

In [131]:
labels = [x.replace(' ', '\n') for x in ratings.columns[:-1]]
for i in range(len(ratings)):
    stats = ratings.iloc[i, :-1].values
    angles = np.linspace(0, 2*np.pi, len(labels), endpoint=False)

    stats = np.concatenate((stats,[stats[0]]))
    angles = np.concatenate((angles,[angles[0]]))

    fig = plt.figure(figsize=(5,5))
    ax = fig.add_subplot(111, polar=True)
    ax.plot(angles, stats, 'o-', linewidth=2)
    ax.fill(angles, stats, alpha=0.25)
    ax.set_thetagrids(angles * 180/np.pi, labels)
    ax.set_rlabel_position(-90)
    ax.set_theta_zero_location(loc="NW", offset=15)
    ax.set_rmax(6)
    ax.tick_params(pad=10)
    ax.set_title(ratings.iloc[i].plot_title, pad=40)
    ax.grid(True)
    plt.tight_layout()
    plt.savefig('{}.png'.format(ratings.iloc[i].plot_title))
    plt.show()



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