Configuring matplotlib

$ conda install seaborn

def set_mpl_options():
    mpl.rcParams['legend.fancybox'] = True
    mpl.rcParams['legend.shadow'] = True
    mpl.rcParams['legend.framealpha'] = 0.7

import matplotlib.cbook as cbook
import pandas as pd
import matplotlib.pyplot as plt
from dautil import options
import matplotlib as mpl
from dautil import plotting
import seaborn as sns 

data = cbook.get_sample_data('aapl.csv', asfileobj=True)
df = pd.read_csv(data, parse_dates=True, index_col=0)

df = df.resample('M')

import matplotlib.cbook as cbook
import pandas as pd
import matplotlib.pyplot as plt
from dautil import options
import matplotlib as mpl
from dautil import plotting
import seaborn as sns


data = cbook.get_sample_data('aapl.csv', asfileobj=True)
df = pd.read_csv(data, parse_dates=True, index_col=0)
df = df.resample('M')
close = df['Close'].values
dates = df.index.values
fig, axes = plt.subplots(4)


def plot(title, ax):
    ax.set_title(title)
    ax.set_xlabel('Date')

    plotter = plotting.CyclePlotter(ax)
    plotter.plot(dates, close, label='Close')
    plotter.plot(dates, 0.75 * close, label='0.75 * Close')
    plotter.plot(dates, 1.25 * close, label='1.25 * Close')

    ax.set_ylabel('Price ($)')
    ax.legend(loc='best')

plot('Initial', axes[0])
sns.reset_orig()
options.set_mpl_options()

plot('After setting options', axes[1])

sns.reset_defaults()
plot('After resetting options', axes[2])

with plt.style.context(('dark_background')):
    plot('With dark_background stylesheet', axes[3])
    fig.autofmt_xdate()
    plt.show()

from itertools import cycle


class CyclePlotter():
    def __init__(self, ax):
        self.STYLES = cycle(["-", "--", "-.", ":"])
        self.LW = cycle([1, 2])
        self.ax = ax

    def plot(self, x, y, *args, **kwargs):
        self.ax.plot(x, y, next(self.STYLES),
                     lw=next(self.LW), *args, **kwargs)