In [1]:

    

%matplotlib inline

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
np.random.seed(sum(map(ord, "aesthetics")))


    

In [2]:

    

def sinplot(flip=1):
    x = np.linspace(0, 14, 100)
    for i in range(1, 7):
        plt.plot(x, np.sin(x + i * .5) * (7 - i) * flip)


    

In [3]:

    

sinplot()


    

In [15]:

    

sns.set(style='whitegrid')

data = np.random.normal(size=(20, 6))
print data


    

    




[[-1.50025307 -0.67201927 -1.10532584  1.24387956  2.9156214   1.33877873]
 [ 0.31593546  0.55365631  2.40190228 -1.9009618   2.56879796  1.59024427]
 [ 0.96686722  0.21357452  0.86262588  1.82394517  2.49879741  3.49844597]
 [ 0.18692468  1.15214983 -0.85580138  1.49152695  2.34641587  2.5751258 ]
 [-1.374374   -0.39100762  1.8231631   3.31932605  1.79354162  1.64519225]
 [ 0.05190786 -0.1206535   0.06205536  2.40891167  3.15502341 -0.28243537]
 [ 0.96871382 -0.05836533  3.16258281  0.45373155  2.30960958  2.29745579]
 [-1.32647588 -1.45938183  0.07917463  0.71421538  2.2630478   2.3125994 ]
 [-1.43367585 -0.25679543  2.49825185  0.97161464  1.95239132  2.02728161]
 [ 0.15570932  0.04837208  1.44028863  0.56839181 -0.2123557   2.62624256]
 [-0.18841965  2.25602847  1.12865809  1.90608216  3.10842229  1.22745421]
 [-0.8771205  -1.40081181  0.4993878   0.50139878  2.6437514   2.33681027]
 [-2.00322288  0.08742923 -0.06861062  2.25055444  1.70453696  0.96329435]
 [ 1.00087537  0.66891484  2.89871585  2.01135507  2.61245771  2.02021536]
 [ 0.9164328  -0.41992664  1.35454766  0.52122305  0.84518054  2.14097486]
 [-0.79206149  0.90621783  3.72959746  1.36095447  2.0345652   1.39637776]
 [-1.14104195  2.09816207  1.71378884  2.07323166  4.19231355  2.47503903]
 [ 0.1195347  -1.80729554  1.97656804  0.17573325  2.74936872  4.04701248]
 [ 1.00832714 -0.22445332  0.82988106  0.67585691  1.2782066   2.71588797]
 [-0.65559984 -0.47638199  0.96469716 -0.37456779  3.49267032  1.44636218]]

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