An alternative is to put the whole call to plot into a utility that just unpacks the labels, but that would require a lot of duplication to figure out how to parse multiple datasets, possibly with different numbers of columns, and spread out across multiple arguments, keyword or otherwise. This way you get to specify all your normal artist parameters to plot, without having to see the loop in your code. You can call it something like x = np.arange(5) ![]() sewn into the neck with all legal info to replace manufacturers tags. sewn where you want to market your brand. I've therefore made a utility function to wrap calls to ax.plot/ plt.plot in: def set_labels(artists, labels):įor artist, label in zip(artists, labels): create patches and have them sewn onto your clothing. February 25-28, organised by INMA, in New York: INMA Media Subscriptions Week 3.0 How to. In newer versions of matplotlib, it just converts your entire list/tuple into a string, and assigns the whole thing as a label to all the lines. ENSURING CLOSE MONITORING OF PRINT QUALITY. Children need infor mational books that will take them from where they are in the. Unfortunately, plt.setp is not helpful here. For example, given the dilemma of how to divide rewards, children. I really don't want to plot the data in a loop, and multiple calls to ax.legend/ plt.legend are not really an option, since I want to plot other stuff, usually in an equally annoying format. This problem comes up for me often when I have a single set of x values and multiple y values in the columns of an array.
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