import pandas as pd
import numpy as np

%matplotlib inline
pd.set_option('display.mpl_style', 'default')

pd.Series(np.random.rand(10)).hist(bins=2)

s = pd.Series(np.random.rand(1000))
s[:100].hist(bins=10)

rng = pd.date_range('2/10/2015', periods=168, freq='H')
ts = pd.Series(np.random.randn(len(rng)), index=rng)
ts.plot()

reg = {'name': 'regenstein',
       'books': 200,
       'rooms': 25}
crerar = {'name': 'crerar',
          'books': 250,
          'rooms': 4}
libraries = [reg, crerar]
lib_short_df = pd.DataFrame(libraries)

lib_short_df

url = 'http://cfss.uchicago.edu/data/libraries.csv'

lib_df = pd.read_csv(url)

lib_df[' numBooks'].plot(kind='bar', x)

lib_df.describe()