In [3]:

    

%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np


    

In [4]:

    

plt.style.available


    

    
Out[4]:





[u'seaborn-darkgrid',
 u'seaborn-notebook',
 u'classic',
 u'seaborn-ticks',
 u'grayscale',
 u'bmh',
 u'seaborn-talk',
 u'dark_background',
 u'ggplot',
 u'fivethirtyeight',
 u'seaborn-colorblind',
 u'seaborn-deep',
 u'seaborn-whitegrid',
 u'seaborn-bright',
 u'seaborn-poster',
 u'seaborn-muted',
 u'seaborn-paper',
 u'seaborn-white',
 u'seaborn-pastel',
 u'seaborn-dark',
 u'seaborn-dark-palette']

In [5]:

    

def hist_and_lines():
    np.random.seed(0)
    fig, ax = plt.subplots(1, 2, figsize=(11, 4))
    ax[0].hist(np.random.randn(1000))
    for i in range(3):
        ax[1].plot(np.random.rand(10))
    ax[1].legend(['a', 'b', 'c'], loc='lower left')


    

In [6]:

    

hist_and_lines()


    

In [7]:

    

with plt.style.context('fivethirtyeight'):
    hist_and_lines()


    

In [8]:

    

with plt.style.context('ggplot'):
    hist_and_lines()


    

In [9]:

    

with plt.style.context('bmh'):
    hist_and_lines()


    

In [13]:

    

import seaborn as sns
sns.set(style="whitegrid")
hist_and_lines()


    

In [12]:

    

sns.set()
hist_and_lines()