import datetime
from matplotlib.pyplot import figure, show
from matplotlib.dates import DayLocator, HourLocator, DateFormatter, drange
from numpy import arange
date1 = datetime.datetime( 2000, 3, 2)
date2 = datetime.datetime( 2000, 3, 6)
delta = datetime.timedelta(hours=int(6))
dates = drange(date1, date2, delta)
y = arange( len(dates)*1.0)
fig = figure()
ax = fig.add_subplot(111)
ax.plot_date(dates, y*y)
# this is superfluous, since the autoscaler should get it right, but
# use date2num and num2date to to convert between dates and floats if
# you want; both date2num and num2date convert an instance or sequence
ax.set_xlim( dates[0], dates[-1] )
# The hour locator takes the hour or sequence of hours you want to
# tick, not the base multiple
ax.xaxis.set_major_locator( DayLocator() )
ax.xaxis.set_minor_locator( HourLocator(arange(0,25,6)) )
ax.xaxis.set_major_formatter( DateFormatter('%Y-%m-%d') )
ax.fmt_xdata = DateFormatter('%Y-%m-%d %H:%M:%S')
fig.autofmt_xdate()
fig.savefig('test.png')
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from pylab import figure, show
from matplotlib.finance import quotes_historical_yahoo
from matplotlib.dates import YearLocator, MonthLocator, DateFormatter
import datetime
date1 = datetime.date( 1995, 1, 1 )
date2 = datetime.date( 2004, 4, 12 )
years = YearLocator() # every year
months = MonthLocator() # every month
yearsFmt = DateFormatter('%Y')
quotes = quotes_historical_yahoo(
'INTC', date1, date2)
if len(quotes) == 0:
raise SystemExit
dates = [q[0] for q in quotes]
opens = [q[1] for q in quotes]
fig = figure()
ax = fig.add_subplot(111)
ax.plot_date(dates, opens, '-')
# format the ticks
ax.xaxis.set_major_locator(years)
ax.xaxis.set_major_formatter(yearsFmt)
ax.xaxis.set_minor_locator(months)
ax.autoscale_view()
# format the coords message box
def price(x): return '$%1.2f'%x
ax.fmt_xdata = DateFormatter('%Y-%m-%d')
ax.fmt_ydata = price
ax.grid(True)
fig.autofmt_xdate()
fig.savefig('test.png')
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# this should work, but apparently we have to convert toordinal() for this to work.
# see
from matplotlib.dates import YearLocator, DateFormatter
import datetime
data=[
(datetime.date( 1995, 1, 1 ), 30),
(datetime.date( 1996, 3, 1 ), 50),
(datetime.date( 1997, 2, 4 ), 40),
]
list_plot([(i.toordinal(), j) for i,j in data],ticks=[YearLocator(),None],tick_formatter=[DateFormatter('%Y-%m-%d'),None])
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