In [41]:

    

%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import mpld3

mpld3.enable_notebook()


    

In [42]:

    

fig, ax = plt.subplots(subplot_kw=dict(axisbg='#EEEEEE'), figsize=(10,5))
ax.grid(color='white', linestyle='solid')

N = 50
scatter = ax.scatter(np.random.normal(size=N),
                     np.random.normal(size=N),
                     c=np.random.random(size=N),
                     s = 1000 * np.random.random(size=N),
                     alpha=0.3,
                     cmap=plt.cm.jet)

ax.set_title("D3 Scatter Plot", size=18);


    

In [43]:

    

import mpld3
from mpld3 import plugins
from mpld3.utils import get_id
import collections

N_paths = 5
N_steps = 100

x = np.linspace(0, 10, 100)
y = 0.1 * (np.random.random((N_paths, N_steps)) - 0.5)
y = y.cumsum(1)

fig, ax = plt.subplots()
labels = ["a", "b", "c", "d", "e"]
line_collections = ax.plot(x, y.T, lw=4, alpha=0.2)

mpld3.display()


    

    
Out[43]:

In [5]:

    

from __future__ import print_function
import datetime
import matplotlib.pyplot as plt
from matplotlib.dates import MONDAY
from matplotlib.finance import quotes_historical_yahoo
from matplotlib.dates import MonthLocator, WeekdayLocator, DateFormatter


date1 = datetime.date( 2002, 1, 5 )
date2 = datetime.date( 2003, 12, 1 )

# every monday
mondays   = WeekdayLocator(MONDAY)

# every 3rd month
months    = MonthLocator(range(1,13), bymonthday=1, interval=3)
monthsFmt = DateFormatter("%b '%y")


quotes = quotes_historical_yahoo('INTC', date1, date2)
if len(quotes) == 0:
    print ('Found no quotes')
    raise SystemExit

dates = [q[0] for q in quotes]
opens = [q[1] for q in quotes]

fig, ax = plt.subplots()
ax.plot_date(dates, opens, '-')
ax.xaxis.set_major_locator(months)
ax.xaxis.set_major_formatter(monthsFmt)
ax.xaxis.set_minor_locator(mondays)
ax.autoscale_view()
#ax.xaxis.grid(False, 'major')
#ax.xaxis.grid(True, 'minor')
ax.grid(True)

fig.autofmt_xdate()

plt.show()


    

    




/Users/schriste/anaconda/lib/python2.7/site-packages/pandas/io/excel.py:626: UserWarning: Installed openpyxl is not supported at this time. Use >=1.6.1 and <2.0.0.
  .format(openpyxl_compat.start_ver, openpyxl_compat.stop_ver))






    

In [12]:

    

log_file = 'http://sprg.ssl.berkeley.edu/~brentm/textlog.dat'
import urllib2
from datetime import datetime


    

In [48]:

    

response = urllib2.urlopen(log_file)
times = []
temp = []
for line in response:
    date = line.split('--')[0]
    data = line.split('--')[1]
    times.append(datetime.strptime(date[0:-1], '%B %d %Y %H:%M:%S'))
    if data[1] == 'C':
        temp.append(float(data[4:8]))
    else:
        temp.append(np.nan)
response.close()


    

In [49]:

    

len(times)


    

    
Out[49]:





73602

In [50]:

    

times[0]


    

    
Out[50]:





datetime.datetime(2014, 6, 10, 16, 20, 48)

In [51]:

    

temp[100]


    

    
Out[51]:





0.0

In [56]:

    

fig, ax = plt.subplots(figsize=(10,5))
ax.plot_date(times[::10], temp[::10], '-')
mpld3.display()


    

    
Out[56]:

In [ ]: