Re: [Matplotlib-users] error: Gtk* backend requires pygtk to be installed
Hi,
Went looking on examples page and found there was a file name demo_image.py
http://matplotlib.sourceforge.net/examples/axes_grid/demo_image.html
However for whatever reason the source code was not downloadable (404
error), so I copied it off the html page.
I'm not sure why the matplotlib examples page would contain weird
dependencies like that, rather than just having simpler examples.
As for 'pip', it is a replacement for 'easy_install', both of which
find and install python packages. pip is meant to improve on
easy_install, with new features and more stability.
And I think you figured out my exact problem:
I'd be questioning your configuration of matplotlib, there should be a rc
file somewhere, maybe you (or your distro) have set the backend to gtk by
default?
Yep, unfortunately in ~/.matplotlib/matplotlibrc
this line was set to
backend : GTKAgg
So I fixed that. The other solution I found is to have at the top of
the plotting script the matplotlib.use() statement so that it uses
something else for a backend:
import matplotlib # Do this before importing pylab or pyplot
#matplotlib.use('Agg') # Anti-Grain Geometry (raster images)
matplotlib.use('PDF')
import matplotlib.pyplot as plt
Thanks!
Mike
--
ThinkGeek and WIRED's GeekDad team up for the Ultimate
GeekDad Father's Day Giveaway. ONE MASSIVE PRIZE to the
lucky parental unit. See the prize list and enter to win:
http://p.sf.net/sfu/thinkgeek-promo
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] axis on top for barh plot
Hi! How can I put the bottom axis on top (or on top AND on bottom) for a barh plot? It's somewhat counter-intuitive, but it can be done. You have to create some twin axes with the twiny option, then make the plot on the twin axes so it will use the top axis. The bottom axis still have to be adjusted manually to make it match the top one and remove the labels. See this example: Thanks for your example. With your help I was able to finally create this with matplotlib, http://www.hep.wisc.edu/cms/comp/cmsprod/diskUserUsage.png and this is my final script, http://www.hep.wisc.edu/cms/comp/cmsprod/plotDiskUse.py One thing that surprised me was to shrink the font for the names required changing ax1 even though the barh plot is on ax2. See these lines: -- ax2.barh(pos, listUse, color=listColors, height=1.0, align='center') ... for tick in ax1.yaxis.get_major_ticks(): tick.label1.set_fontsize(8) -- Surprising. Mike -- Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] axis on top for barh plot
Hi, How can I put the bottom axis on top (or on top AND on bottom) for a barh plot? I'm trying to mimic this, made with gnuplot: http://www.hep.wisc.edu/cms/comp/cmsprod/dCacheUserUsage.png within matplotlib, and I've come close, http://www.hep.wisc.edu/cms/comp/cmsprod/diskUserUsage.png Also, is it possible to just have grid lines in one direction (say, vertical), I don't think the horizontal grid is necessary. Thanks for any help, Mike PS: Anyone who is interested, my script for making that is here, http://www.hep.wisc.edu/cms/comp/cmsprod/plotDiskUse.py -- Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] matplotlib slow compared to gnuplot?
Hi all, Previously I was a user of gnuplot but have been giving matplotlib a try. One thing I've run in to right away is that matplotlib appears to be significantly slower. A script to produce a dozen plots was taking me ~1 second with gnuplot, and now takes me ~18 seconds with matplotlib. I'm curious if anyone knows how to speed things up. To figure out what is taking most of the time, I've used cProfile and pstats and below is the top 15 functions taking the most time. (note: plotStackedJobsVsTime is my function that uses matplotlib.) Wed Nov 11 08:43:52 2009fooprof 3069840 function calls (3009711 primitive calls) in 17.658 CPU seconds Ordered by: cumulative time List reduced from 873 to 15 due to restriction 15 ncalls tottime percall cumtime percall filename:lineno(function) 10.0000.000 17.658 17.658 string:1(module) 10.0070.007 17.658 17.658 /cms/cmsprod/bin/ prodJobMonitorPlots_matplotlib.py:151(main) 130.6200.048 17.6471.357 /cms/cmsprod/bin/ prodJobMonitorPlots_matplotlib.py:54(plotStackedJobsVsTime) 130.0000.000 10.0870.776 /afs/hep.wisc.edu/cms/ sw/python/x86_64/2.5.4/lib/python2.5/site-packages/ matplotlib-0.99.1.1_r0-py2.5-linux-x86_64.egg/matplotlib/figure.py:959 (savefig) 130.0280.002 10.0860.776 /afs/hep.wisc.edu/cms/ sw/python/x86_64/2.5.4/lib/python2.5/site-packages/ matplotlib-0.99.1.1_r0-py2.5-linux-x86_64.egg/matplotlib/ backend_bases.py:1372(print_figure) 130.0280.0029.8470.757 /afs/hep.wisc.edu/cms/ sw/python/x86_64/2.5.4/lib/python2.5/site-packages/ matplotlib-0.99.1.1_r0-py2.5-linux-x86_64.egg/matplotlib/backends/ backend_agg.py:357(print_png) 130.0000.0009.2430.711 /afs/hep.wisc.edu/cms/ sw/python/x86_64/2.5.4/lib/python2.5/site-packages/ matplotlib-0.99.1.1_r0-py2.5-linux-x86_64.egg/matplotlib/backends/ backend_agg.py:307(draw) 3206/130.0400.0009.2220.709 /afs/hep.wisc.edu/cms/ sw/python/x86_64/2.5.4/lib/python2.5/site-packages/ matplotlib-0.99.1.1_r0-py2.5-linux-x86_64.egg/matplotlib/artist.py:44 (draw_wrapper) 130.0010.0009.2220.709 /afs/hep.wisc.edu/cms/ sw/python/x86_64/2.5.4/lib/python2.5/site-packages/ matplotlib-0.99.1.1_r0-py2.5-linux-x86_64.egg/matplotlib/figure.py:729 (draw) 130.0050.0009.2000.708 /afs/hep.wisc.edu/cms/ sw/python/x86_64/2.5.4/lib/python2.5/site-packages/ matplotlib-0.99.1.1_r0-py2.5-linux-x86_64.egg/matplotlib/axes.py:1632 (draw) 260.0290.0015.6240.216 /afs/hep.wisc.edu/cms/ sw/python/x86_64/2.5.4/lib/python2.5/site-packages/ matplotlib-0.99.1.1_r0-py2.5-linux-x86_64.egg/matplotlib/axis.py:727 (draw) 1533/13250.0780.0003.6630.003 /afs/hep.wisc.edu/cms/sw/ python/x86_64/2.5.4/lib/python2.5/site-packages/matplotlib-0.99.1.1_r0- py2.5-linux-x86_64.egg/matplotlib/axis.py:61(__init__) 8110.0350.0003.0570.004 /afs/hep.wisc.edu/cms/ sw/python/x86_64/2.5.4/lib/python2.5/site-packages/ matplotlib-0.99.1.1_r0-py2.5-linux-x86_64.egg/matplotlib/axis.py:181 (draw) 130.0010.0002.6190.201 /afs/hep.wisc.edu/cms/ sw/python/x86_64/2.5.4/lib/python2.5/site-packages/ matplotlib-0.99.1.1_r0-py2.5-linux-x86_64.egg/matplotlib/legend.py:342 (draw) 1065/9610.0120.0002.5430.003 /afs/hep.wisc.edu/cms/ sw/python/x86_64/2.5.4/lib/python2.5/site-packages/ matplotlib-0.99.1.1_r0-py2.5-linux-x86_64.egg/matplotlib/axis.py:1207 (_get_tick) My script, for the curious, is at http://www.hep.wisc.edu/cms/comp/routerqMonitor/prodJobMonitorPlots_matplotlib.py and produces these plots: http://www.hep.wisc.edu/cms/comp/routerqMonitor/index.html Any hints at what I can do to speed up my script? Or is it out of my hands because it's all in matplotlib? Thanks for any help, Mike -- Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] parsing tab separated files into dictionaries - alternative to genfromtxt?
ideally what i would like is to be able to traverse each line of the
parsed file, and then refer to each of its fields by header name, so
that if the column order in the file changes my program will be
unaffected:
What you want is a DictReader.
For a quick example of me using that,
--
aReader = csv.DictReader(open(inputFilename, 'r'), delimiter='\t')
yValues = {} # Will be a dictionary of lists (these are lists of y-
values)
xValues = [] # List of x values (timestamps)
for row in aReader:
xValues.append(datetime.datetime(*(time.strptime(row
['TimeStamp'],timeStampFormat)[0:6])))
for field in sorted(row,reverse=True): # Read from last
to first in field list
if field=='TimeStamp': continue # Column of x-data
if not field in yValues.keys():
yValues[field] = [nt(row[field])] # Start list of
the values
in this column
else:
yValues[field].append(int(row[field])) # Add to list of
values in
this column
--
Mike
--
Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day
trial. Simplify your report design, integration and deployment - and focus on
what you do best, core application coding. Discover what's new with
Crystal Reports now. http://p.sf.net/sfu/bobj-july
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Plotting with times - axis labels and eliding times
Hi, * The time ranges are large (one-second samples over a period of several days) and I find the x axis label formats are often inappropriate to the scale. How to I control the format of the x axis labels? I only started using matplolib a few days ago, but I think I know how to do what you want: import matplotlib.dates as mdates # To read timestamps ... xAxisTimeFormat = '%a\n%H:%M' # Format of time stamps on x-axis hourLocator = mdates.HourLocator(interval=5)# Every 5 hours minuteLocator = mdates.MinuteLocator(interval=30) # Every half hour ... ax.xaxis.set_major_locator(hourLocator)# Set major tick marks ax.xaxis.set_minor_locator(minuteLocator) # Set minor tick marks ax.xaxis.set_major_formatter(mdates.DateFormatter(xAxisTimeFormat)) # Format x-axis labels I have a full example of plots that have a point every minute over the course of days: http://www.hep.wisc.edu/cms/comp/routerqMonitor/index.html with a link to the full python script at the bottom. Mike -- 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] fill_between, legends, and label parameter
If you want to have a legend for PolyCollection, you may use a proxy artist. http://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist Thanks for the link! Although, it seems that legend does not support PolyCollection at all: Remember that some pyplot commands return artist not supported by legend, e.g., fill_between() returns PolyCollection that is not supported. so that even trying to use a proxy artist results in an error (shown at bottom), with the code here: -- listOfThingsPlotted = [] listOfLegendLabels = [] for column in sorted(yValues): temp = ax.fill_between(xValues, yValues[column], label=column) listOfThingsPlotted.append(temp) listOfLegendLabels.append(column) legend = plt.legend (listOfThingsPlotted,listOfLegendLabels,bbox_to_anchor=(1.25, 1), shadow=True, fancybox=True) -- Error: -- Traceback (most recent call last): File /cms/cmsprod/bin/prodJobMonitorPlots_matplotlib.py, line 117, in module plotStackedJobsVsTime(inputFile, outputFile, outputTitle) File /cms/cmsprod/bin/prodJobMonitorPlots_matplotlib.py, line 93, in plotStackedJobsVsTime legend = plt.legend (listOfThingsPlotted,listOfLegendLabels,bbox_to_anchor=(1.25, 1), shadow=True, fancybox=True) # Make legend File /afs/hep.wisc.edu/cms/sw/python/x86/2.5.4/lib/python2.5/site- packages/matplotlib-0.99.1.1_r0-py2.5-linux-i686.egg/matplotlib/ pyplot.py, line 2437, in legend ret = gca().legend(*args, **kwargs) File /afs/hep.wisc.edu/cms/sw/python/x86/2.5.4/lib/python2.5/site- packages/matplotlib-0.99.1.1_r0-py2.5-linux-i686.egg/matplotlib/ axes.py, line 4044, in legend self.legend_ = mlegend.Legend(self, handles, labels, **kwargs) File /afs/hep.wisc.edu/cms/sw/python/x86/2.5.4/lib/python2.5/site- packages/matplotlib-0.99.1.1_r0-py2.5-linux-i686.egg/matplotlib/ legend.py, line 304, in __init__ self._init_legend_box(handles, labels) File /afs/hep.wisc.edu/cms/sw/python/x86/2.5.4/lib/python2.5/site- packages/matplotlib-0.99.1.1_r0-py2.5-linux-i686.egg/matplotlib/ legend.py, line 582, in _init_legend_box handlebox.add_artist(handle) File /afs/hep.wisc.edu/cms/sw/python/x86/2.5.4/lib/python2.5/site- packages/matplotlib-0.99.1.1_r0-py2.5-linux-i686.egg/matplotlib/ offsetbox.py, line 475, in add_artist a.set_transform(self.get_transform()) AttributeError: 'NoneType' object has no attribute 'set_transform' -- 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] fill_between, legends, and label parameter
Hi, I have a piece of code that creates a plot without warning when using just fill(), but gives a warning when using fill_between() because that function doesn't seem to actually do register values passed to it by the label parameter. The warning happens when I try to make a legend after using fill_between(): /cms/sw/python/2.5/lib/python2.5/site-packages/ matplotlib-0.99.1.1_r0-py2.5-linux-x86_64.egg/matplotlib/axes.py:4014: UserWarning: No labeled objects found. Use label='...' kwarg on individual plots. warnings.warn(No labeled objects found. In essence this code works fine when I use fill() rather than fill_between(): for column in sorted(yValues): ax.fill_between(xValues, yValues[column], label=column) legend = plt.legend(bbox_to_anchor=(1.3, 1), shadow=True, fancybox=True) That is, the legend finds the labels when I use fill(), but not when I use fill_between(). Why is that? Mike -- 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
