Re: [Matplotlib-users] Log scale for horizontal bar chart (2 bugs)
barh takes an optional argument log. set this True (or you may set left with some meaningful value, other than 0) http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.barh -JJ On Wed, Oct 14, 2009 at 4:30 PM, Donovan Parks donovan.pa...@gmail.com wrote: Hello, I've encountered two bugs recently in matplotlib. I am hoping someone can tell me if these are known issues and if any workarounds have been proposed. The bug occurs for horizontal bar chart where the x-axis has a log scale: from pylab import * val = 3+10*rand(5) # the bar lengths pos = arange(5)+.5 # the bar centers on the y axis axes = subplot(111) axes.barh(pos,val, align='center') axes.set_xscale('log') for a in axes.yaxis.majorTicks: a.tick1On=False a.tick2On=False for a in axes.xaxis.majorTicks: a.tick1On=True a.tick2On=False for loc, spine in axes.spines.iteritems(): if loc in ['left','right','top']: spine.set_color('none') show() If you run this code, you will see that only the end caps of the horizontal bars are drawn. Furthermore, tick marks appear at the top of the plot (despite explicitly turning them off). If a linear scale is used the plot is generated as expected. The issue with tick marks appearing incorrectly with log axes appears to occur with many types of graphs (well, at least the three I tried). Can anyone suggest how I might plot a bar chart with a log scale? Is there any other way I might force the tick marks at the top to not be drawn? Thanks for any and all help. Cheers, Donovan -- Come build with us! The BlackBerry(R) Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9 - 12, 2009. Register now! http://p.sf.net/sfu/devconference ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Come build with us! The BlackBerry(R) Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9 - 12, 2009. Register now! http://p.sf.net/sfu/devconference ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Log scale for horizontal bar chart (2 bugs)
Hello, I've encountered two bugs recently in matplotlib. I am hoping someone can tell me if these are known issues and if any workarounds have been proposed. The bug occurs for horizontal bar chart where the x-axis has a log scale: from pylab import * val = 3+10*rand(5) # the bar lengths pos = arange(5)+.5# the bar centers on the y axis axes = subplot(111) axes.barh(pos,val, align='center') axes.set_xscale('log') for a in axes.yaxis.majorTicks: a.tick1On=False a.tick2On=False for a in axes.xaxis.majorTicks: a.tick1On=True a.tick2On=False for loc, spine in axes.spines.iteritems(): if loc in ['left','right','top']: spine.set_color('none') show() If you run this code, you will see that only the end caps of the horizontal bars are drawn. Furthermore, tick marks appear at the top of the plot (despite explicitly turning them off). If a linear scale is used the plot is generated as expected. The issue with tick marks appearing incorrectly with log axes appears to occur with many types of graphs (well, at least the three I tried). Can anyone suggest how I might plot a bar chart with a log scale? Is there any other way I might force the tick marks at the top to not be drawn? Thanks for any and all help. Cheers, Donovan -- Come build with us! The BlackBerry(R) Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9 - 12, 2009. Register now! http://p.sf.net/sfu/devconference ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Log scale for horizontal bar chart (2 bugs)
-Original Message- From: Donovan Parks [mailto:donovan.pa...@gmail.com] Sent: Wednesday, October 14, 2009 1:31 PM To: matplotlib-users@lists.sourceforge.net Subject: [Matplotlib-users] Log scale for horizontal bar chart (2 bugs) Hello, I've encountered two bugs recently in matplotlib. I am hoping someone can tell me if these are known issues and if any workarounds have been proposed. The bug occurs for horizontal bar chart where the x-axis has a log scale: from pylab import * val = 3+10*rand(5) # the bar lengths pos = arange(5)+.5# the bar centers on the y axis axes = subplot(111) axes.barh(pos,val, align='center') axes.set_xscale('log') for a in axes.yaxis.majorTicks: a.tick1On=False a.tick2On=False for a in axes.xaxis.majorTicks: a.tick1On=True a.tick2On=False for loc, spine in axes.spines.iteritems(): if loc in ['left','right','top']: spine.set_color('none') show() If you run this code, you will see that only the end caps of the horizontal bars are drawn. Furthermore, tick marks appear at the top of the plot (despite explicitly turning them off). If a linear scale is used the plot is generated as expected. The issue with tick marks appearing incorrectly with log axes appears to occur with many types of graphs (well, at least the three I tried). Just wanted to chime in here and note that a similar issue can occur with boxplots and log-scales. I think the issue here is that the rectangle patch is told to draw at the patch length at *zero*. Since there is no zero on a log scale, the rectangle patch is not fully rendered. That's just my observation/hypothesis. Good luck, -paul -- Come build with us! The BlackBerry(R) Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9 - 12, 2009. Register now! http://p.sf.net/sfu/devconference ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users