[Matplotlib-users] Legend Bug in Pie chart with shadow=True
1.please compare figure 1 and figure 2
2 How to change text color on Pie chart ?
(If fragment of Pie chart is black text is unreadable )
3. Text 0.5% in figure 2 is unreadable, how correct this?
( i try use pctdistance= 1.1 but if value is format autopct='%1.4f%%'
some text is unreadable )
#!/usr/bin/env python
from pylab import *
# make a square figure and axes
figure(1, figsize=(8,8))
ax = axes([0.1, 0.1, 0.8, 0.8])
labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
fracs = [50,25,24.5, 0.5]
figure(1)
pie(fracs, labels=labels)
legend( loc='best', shadow=True)
# figure(2) show a some optional features. autopct is used to label
# the percentage of the pie, and can be a format string or a function
# which takes a percentage and returns a string. explode is a
# len(fracs) sequence which gives the fraction of the radius to
# offset that slice.
figure(2, figsize=(8,8))
explode=(0, 0.05, 0, 0)
pie(fracs, explode=explode, labels=labels, autopct='%1.1f%%', shadow=True)
legend( loc='best', shadow=True)
savefig('pie_demo')
show()
-
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[Matplotlib-users] xticklabels question
I have an array of data that were sampled with a sampling rate of 1.5625samples/sec . I want to plot these data with the x axis showing time in terms of hours for the major ticks and minutes for the minor ticks in my custom made wx App. I have been fiddling around with the HourLocator and MinuteLocator classes but it seems I can't get them to work. Do you know an easy way to do this? I just want to plot my data in terms of the actual time/duration of logging they represent (in hours and/or in minutes when the plot is zoomed in or there is less than an hour's worth of samples) - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT business topics through brief surveys-and earn cash http://www.techsay.com/default.php?page=join.phpp=sourceforgeCID=DEVDEV___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] cumulative distribution function
On 3/17/07, Simson Garfinkel [EMAIL PROTECTED] wrote: Hi. I haven't been active for a while, but now I have another paper that I need to get out... Glad to have you back... Anyway, I need to draw a cumulative distribution function, as the reviewers of my last paper really nailed me to the wall for including histograms instead of CDFs. Is there any way to plot a CDF with matplotlib? For analytic cdfs, see scipy.stats. I assume you need an empirical cdf. You can use matplotlib.mlab.hist to compute the empirical pdf (use normed=True to return a PDF rather than a frequency count). Then use numpy.cumsum to do the cumulative sum of the pdf, multiplying by the binsize so it approximates the integral. import matplotlib.mlab from pylab import figure, show, nx x = nx.mlab.randn(1) p,bins = matplotlib.mlab.hist(x, 50, normed=True) db = bins[1]-bins[0] cdf = nx.cumsum(p*db) fig = figure() ax = fig.add_subplot(111) ax.bar(bins, cdf, width=0.8*db) show() - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT business topics through brief surveys-and earn cash http://www.techsay.com/default.php?page=join.phpp=sourceforgeCID=DEVDEV ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] xticklabels question
On 3/18/07, Allan Noriel Estrella [EMAIL PROTECTED] wrote: I have an array of data that were sampled with a sampling rate of 1.5625 samples/sec . I want to plot these data with the x axis showing time in terms of hours for the major ticks and minutes for the minor ticks in my custom made wx App. I have been fiddling around with the HourLocator and MinuteLocator classes but it seems I can't get them to work. Do you know an easy way to do this? I just want to plot my data in terms of the actual time/duration of logging they represent (in hours and/or in minutes when the plot is zoomed in or there is less than an hour's worth of samples) Well, the HourLocator, MiinuteLocator, etc are for times and not durations. If you want durations, just use plot and not plot_date. Does that help? - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT business topics through brief surveys-and earn cash http://www.techsay.com/default.php?page=join.phpp=sourceforgeCID=DEVDEV ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] cumulative distribution function
On Mar 18, 2007, at 12:41 PM, John Hunter wrote: On 3/17/07, Simson Garfinkel [EMAIL PROTECTED] wrote: Hi. I haven't been active for a while, but now I have another paper that I need to get out... Glad to have you back... Thanks. I've taken a new job, moved to california, and have been flying between the two coasts every week. It doesn't leave much time for mailing lists... Anyway, I need to draw a cumulative distribution function, as the reviewers of my last paper really nailed me to the wall for including histograms instead of CDFs. Is there any way to plot a CDF with matplotlib? For analytic cdfs, see scipy.stats. I assume you need an empirical cdf. You can use matplotlib.mlab.hist to compute the empirical pdf (use normed=True to return a PDF rather than a frequency count). Then use numpy.cumsum to do the cumulative sum of the pdf, multiplying by the binsize so it approximates the integral. import matplotlib.mlab from pylab import figure, show, nx x = nx.mlab.randn(1) p,bins = matplotlib.mlab.hist(x, 50, normed=True) db = bins[1]-bins[0] cdf = nx.cumsum(p*db) fig = figure() ax = fig.add_subplot(111) ax.bar(bins, cdf, width=0.8*db) show() Thanks! I'll try it out and see what happens. - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT business topics through brief surveys-and earn cash http://www.techsay.com/default.php?page=join.phpp=sourceforgeCID=DEVDEV ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Ipython and python2.5
On 1/26/07, Fernando Perez [EMAIL PROTECTED] wrote: On 1/25/07, Alan G Isaac [EMAIL PROTECTED] wrote: On Wed, 24 Jan 2007, Fernando Perez apparently wrote: Let us know if this is not enough or if you have any other issues. How about for Windows users? You list as dependencies: [...] We obviously need to update the windows documentation... Done in SVN, thanks for reporting this. regards, f - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT business topics through brief surveys-and earn cash http://www.techsay.com/default.php?page=join.phpp=sourceforgeCID=DEVDEV ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] PDF Backend problem still unresolved
Thanks for the reply, Jouni. I am running Python 2.3 on Windows XP, latest version of MPL. I'll see if I can reproduce the problem using standard examples. Regards, -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Jouni K Seppänen Sent: Saturday, March 17, 2007 1:06 PM To: matplotlib-users@lists.sourceforge.net Subject: Re: [Matplotlib-users] PDF Backend problem still unresolved [EMAIL PROTECTED] writes: Starting with the 9th page, MPL chokes at line 1084 in backend_pdf.py Jouni posted a couple of responses witih suggestions in CVS syntax but I was unable to use that information. I had to take my laptop to be to be repaired, so I can't do much work on Matplotlib right now. In the meantime, please post some more information: what version of Python and Matplotlib is this, on which platform, can you reduce your code to a small example that exhibits the bug, what output do you get with verbose.level: debug? -- Jouni -- --- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT business topics through brief surveys-and earn cash http://www.techsay.com/default.php?page=join.phpp=sourceforge CID=DEVDEV ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- John Henry - Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT business topics through brief surveys-and earn cash http://www.techsay.com/default.php?page=join.phpp=sourceforgeCID=DEVDEV ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
