In [1]:

    

import matplotlib as mpl
import matplotlib.pyplot as plt
import pandas as pd


    

In [4]:

    

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']

In [18]:

    

mpl.style.use('ggplot')


    

In [19]:

    

plt.plot([1, 4, 9, 16],'rs--')
plt.show()


    

In [20]:

    

mpl.style.use('default')


    

In [21]:

    

plt.plot([1, 4, 9, 16], 'rs--')
plt.show()


    

In [22]:

    

mpl.style.use('seaborn-dark')


    

In [23]:

    

plt.plot([1, 4, 9, 16], 'rs--')
plt.show()


    

In [24]:

    

mpl.style.use('seaborn')


    

In [25]:

    

plt.plot([1, 4, 9, 16], 'rs--')
plt.show()


    

In [2]:

    

x = range(1000)
y = [i ** 2 for i in x]
plt.plot(x,y)
plt.show();


    

In [3]:

    

%config InlineBackend.figure_format = 'retina'
plt.plot(x,y)
plt.show();


    

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