import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
%matplotlib inline
uri = 'http://www.ldeo.columbia.edu/~rpa/usgs_earthquakes_2014.csv'
! curl -O http://www.ldeo.columbia.edu/~rpa/usgs_earthquakes_2014.csv
% Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 18.5M 100 18.5M 0 0 86265 0 0:03:45 0:03:45 --:--:-- 81187
d = pd.read_csv('usgs_earthquakes_2014.csv', parse_dates = ['time'], index_col='time')
# head
# describe
# sort by mag
# histogram
# daily timeseries
# hourly timeseries
type(ax)
matplotlib.axes._subplots.AxesSubplot
# scatter
# bokeh version
# make bokeh figure