import matplotlib as mpl
import matplotlib.pyplot as plt
import pandas as pd
print(plt.style.available)
['_classic_test', 'bmh', 'classic', 'dark_background', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn-bright', 'seaborn-colorblind', 'seaborn-dark-palette', 'seaborn-dark', 'seaborn-darkgrid', 'seaborn-deep', 'seaborn-muted', 'seaborn-notebook', 'seaborn-paper', 'seaborn-pastel', 'seaborn-poster', 'seaborn-talk', 'seaborn-ticks', 'seaborn-white', 'seaborn-whitegrid', 'seaborn']
mpl.style.use('ggplot')
plt.plot([1, 4, 9, 16],'rs--')
plt.show()
mpl.style.use('default')
plt.plot([1, 4, 9, 16], 'rs--')
plt.show()
mpl.style.use('seaborn-dark')
plt.plot([1, 4, 9, 16], 'rs--')
plt.show()
mpl.style.use('seaborn')
plt.plot([1, 4, 9, 16], 'rs--')
plt.show()
x = range(1000)
y = [i ** 2 for i in x]
plt.plot(x,y)
plt.show();
%config InlineBackend.figure_format = 'retina'
plt.plot(x,y)
plt.show();