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From: Brian Zambrano <brianz@gm...>  20090407 19:47:52
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He there, I'm new to matplotlib but have really been appreciating the thorough documentation and examples online. I've never worked with matlab either so I'm stumbling my way around a bit, but have managed to get some basic plots working with my wxPython program. I'm plotting some simple time/temp curves. For the time, I have just the number of seconds, starting at 0 and going up to about 1200 (20 minutes). I'm trying to format the xaxis so that there is a tick mark every one minute, and format the tick marks so they display %M:%S. The code below doesn't give me *any* formatting or tick marks on the xaxis. It seems like this should be fairly obvious how to accomplish, but I'm not getting it. What am I doing wrong here? xvals = range(1200) yvals = list of temps self.mainline = self.ax.plot(xvals, yvals, lw=2, color='red')[0] locator = matplotlib.dates.MinuteLocator() self.ax.xaxis.set_major_locator(locator) self.ax.xaxis.set_minor_locator(locator) formatter = matplotlib.dates.DateFormatter('%M:%S') self.ax.xaxis.set_major_formatter(formatter) self.ax.xaxis.set_minor_formatter(formatter) # draw the canvas Any help appreciated...thanks! BZ 
From: JaeJoon Lee <lee.j.joon@gm...>  20090407 21:29:07

Hi, I'm not a frequent user of matplotlib.dates module, so other expert may give you a better answer. My understanding is that, for the date time formatting, the (x) data needs to be days (if not datetime instance) from some reference point (1, 1, 1? I'm not sure). The easiest way I can think of in your case is from matplotlib.dates import datetime, SEC_PER_DAY ordinal_today=datetime.datetime.today().toordinal() xvals = ordinal_today + np.arange(1200, dtype="d")/SEC_PER_DAY Also, you'd better comment out the set_minor_locator and set_minot_formatter calls, unless you want the same xlabel drawn twice. IHTH, JJ On Tue, Apr 7, 2009 at 3:47 PM, Brian Zambrano <brianz@...> wrote: > He there, > > I'm new to matplotlib but have really been appreciating the thorough > documentation and examples online. I've never worked with matlab either so > I'm stumbling my way around a bit, but have managed to get some basic plots > working with my wxPython program. > > I'm plotting some simple time/temp curves. For the time, I have just the > number of seconds, starting at 0 and going up to about 1200 (20 minutes). > I'm trying to format the xaxis so that there is a tick mark every one > minute, and format the tick marks so they display %M:%S. The code below > doesn't give me *any* formatting or tick marks on the xaxis. It seems like > this should be fairly obvious how to accomplish, but I'm not getting it. > > What am I doing wrong here? > > > xvals = range(1200) > yvals = list of temps > > self.mainline = self.ax.plot(xvals, yvals, lw=2, color='red')[0] > > locator = matplotlib.dates.MinuteLocator() > self.ax.xaxis.set_major_locator(locator) > self.ax.xaxis.set_minor_locator(locator) > > formatter = matplotlib.dates.DateFormatter('%M:%S') > self.ax.xaxis.set_major_formatter(formatter) > self.ax.xaxis.set_minor_formatter(formatter) > > # draw the canvas > > > Any help appreciated...thanks! > BZ > >  > This SF.net email is sponsored by: > High Quality Requirements in a Collaborative Environment. > Download a free trial of Rational Requirements Composer Now! > http://p.sf.net/sfu/wwwibmcom > _______________________________________________ > Matplotlibusers mailing list > Matplotlibusers@... > https://lists.sourceforge.net/lists/listinfo/matplotlibusers > > 
From: Ryan May <rmay31@gm...>  20090408 14:33:38
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On Tue, Apr 7, 2009 at 4:29 PM, JaeJoon Lee <lee.j.joon@...> wrote: > Hi, > > I'm not a frequent user of matplotlib.dates module, so other expert > may give you a better answer. > My understanding is that, for the date time formatting, the (x) data > needs to be days (if not datetime instance) from some reference point > (1, 1, 1? I'm not sure). > > The easiest way I can think of in your case is > > > from matplotlib.dates import datetime, SEC_PER_DAY > ordinal_today=datetime.datetime.today().toordinal() > xvals = ordinal_today + np.arange(1200, dtype="d")/SEC_PER_DAY You can also do this without converting to ordinal by hand: from datetime import datetime, timedelta today = datetime.today() xvals = [today + timedelta(seconds=s) for s in range(1200)] # Matplotlib can use lists, but you can also make this into a numpy object array xvals = np.array(xvals) Since matplotlib's date formatter and locator require absolute times, you could also just make your own locator and formatter functions for your relative time values: import matplotlib.ticker as mticker def minsec(sec, unused): minutes = sec // 60 sec = sec  minutes * 60 return '%d:%02d' % (minutes, sec) locator = mticker.MultipleLocator(60) formatter = mticker.FuncFormatter(minsec) Ryan  Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma Sent from Enterprise, AL, United States 
From: Brian Zambrano <brianz@gm...>  20090409 01:47:36
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On Wed, Apr 8, 2009 at 7:33 AM, Ryan May <rmay31@...> wrote: > > import matplotlib.ticker as mticker > > def minsec(sec, unused): > minutes = sec // 60 > sec = sec  minutes * 60 > return '%d:%02d' % (minutes, sec) > > locator = mticker.MultipleLocator(60) > formatter = mticker.FuncFormatter(minsec) > > Ryan > > This is exactly what I was looking for...thank you! With this example (and the docs) I finally understand how the Locator and Formatter classes work. Now, I just can do this: locator = mticker.MultipleLocator(60) formatter = mticker.FuncFormatter(lambda x, y: '%02d:%02d' % divmod(x, 60)) self.ax.xaxis.set_major_locator(locator) self.ax.xaxis.set_major_formatter(formatter) Thanks again, BZ 