I am trying to make a legend for a stacked histogram using matplotlib 1.0.1 and it's not working.
Here's what I've tried so far: count, bins, ignored = pyplot.hist( (matchedStarPsfMags, unmatchedRefStarPsfMags, unmatchedSourcePsfMags), bins=30, histtype='barstacked', normed=True) pyplot.legend(("matched stars", "unmatched stars", \ "false detections"), loc='upper left') This produces a nice stacked histogram with red, green and blue. Unfortunately the legend is blue for all three entries, so the legend is useless! I figured I could label the data instead. The documentation for hist says: label: String, or sequence of strings to match multiple datasets. Bar charts yield multiple patches per dataset, but only the first gets the label, so that the legend command will work as expected: That last sentence sounded really ominous in this context, but I figured I would try it anyway. Unfortunately this code fails: count, bins, ignored = pyplot.hist( (matchedStarPsfMags, unmatchedRefStarPsfMags, unmatchedSourcePsfMags), label = ("matched stars", "unmatched stars", "false detections"), bins=30, histtype='barstacked', normed=True) pyplot.legend(loc='upper left') with this error: Traceback (most recent call last): File "bin/measDepth.py", line 291, in <module> pyplot.legend(loc='upper left') File "/lsst/DC3/stacks/gcc443/15oct2010/Linux64/external/matplotlib/0.98.5.2+1 /lib/python/matplotlib/pyplot.py", line 2441, in legend ret = gca().legend(*args, **kwargs) File "/lsst/DC3/stacks/gcc443/15oct2010/Linux64/external/matplotlib/0.98.5.2+1 /lib/python/matplotlib/axes.py", line 3777, in legend label != '' and not label.startswith('_')): AttributeError: 'tuple' object has no attribute 'startswith' In other words the documentation appears to be incorrect that a sequence of strings is acceptable. Any suggestions? -- Russell ------------------------------------------------------------------------------ All of the data generated in your IT infrastructure is seriously valuable. Why? It contains a definitive record of application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-d2d-c2 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users