On 6/10/07, rolandreichel <[EMAIL PROTECTED]> wrote:
> I want to plot some timeseries (eg. stockcharts). I use now
> DateLocator/Formatter, it works fine for me with the exeption, that
> dataless periods on X-Axis (eg. weekends) are also plotted. Is there an
> easy way to suppress them?
Plot numpy.arange(len(xdata)) vs y and use a custom tick locator to
format the integer index to date strings. Some of the code below is
using svn (eg the csv2rec stuff) but the core logic of formatting date
strings from integers works with any reasonably current mpl.
# plot dates evenly spaced, eg skipping weekends
import numpy
from matplotlib.mlab import csv2rec
from pylab import figure, show
from matplotlib.dates import Formatter
r = csv2rec('data/msft.csv')[-40:]
class MyFormatter(Formatter):
def __init__(self, dates, fmt='%Y-%m-%d'):
self.dates = dates
self.fmt = fmt
def __call__(self, x, pos=0):
'Return the label for time x at position pos'
ind = int(round(x))
if ind>=len(self.dates) or ind<=0: return ''
return self.dates[ind].strftime(self.fmt)
formatter = MyFormatter(r.date)
fig = figure()
ax = fig.add_subplot(111)
ax.xaxis.set_major_formatter(formatter)
ax.plot(numpy.arange(len(r)), r.close, 'o-')
fig.autofmt_xdate()
show()
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