import pandas as pd
import numpy as np

%pylab inline

figsize(5, 5)

x = np.random.normal(0, 10, 10000)
y = np.random.normal(0, 10, 10000)

df = pd.DataFrame( { 'x' : x, 'y' : y } )

df['y'].hist(bins=30)

df.head(10)

df.plot(x='x', y='y', style='o', alpha=.02)

plt.hexbin(df['x'], df['y'], bins='log', gridsize=50, cmap=plt.cm.hot)

df = pd.read_csv('taxirides.csv')

df.head(5)

figsize(15, 15)

df.plot(x='PICKUP_LONG', y='PICKUP_LAT', style='o', alpha=.02)

plt.hexbin(df['PICKUP_LONG'], df['PICKUP_LAT'], bins='log', gridsize=400, cmap=plt.cm.hot)