But then both calls to ax.legend would have required some extra arguments so that each legend contained only the items we wanted. We could have, alternatively, given labels to the markers when they were plotted too. The legend for the markers ( leg2) therefore required the lines and labels as arguments when it was instantiated. For example, add the following to the bottom of the above code: leg1.get_lines().set_lw(8)įinally, it's worth mentioning that in the example only the lines were given labels when plotted, meaning that ax.legend() adds only those lines to the leg1. The really great thing is that you can can still manipulate both legends. The first one you instantiate ( leg1) is removed from the figure when you add the second one, but the leg1 object still exists and can be added back with ax.add_artist. The key is to make sure you have references to the legend objects. 2grid Matplotlib 3.6.3 documentation Skip to main content Plot types Examples Tutorials Reference User guide Develop Release notes stable Section Navigation matplotlib matplotlib.afm matplotlib.animation matplotlib.artist matplotlib.axes matplotlib.axis matplotlib.backendbases matplotlib. This is a wrapper of Figure.addsubplot which provides additional behavior when working with the implicit API (see the notes section). # Add second legend for the maxes and mins. (args, kwargs) source Add an Axes to the current figure or retrieve an existing Axes. # Add first legend: only labeled data is included Giorgos Myrianthous 6. Refresh the page, check Medium ’s site status, or find something interesting to read. # Plot maxima and minima, and keep references to the lines How to Put the Legend Outside the Plot in Matplotlib Towards Data Science Write Sign up Sign In 500 Apologies, but something went wrong on our end. One legend is for the lines, and the other is for the markers. In the example here, we plot two lines, then plot markers on their respective maxima and minima. This has been done so that it is possible to call legend() repeatedly to update the legend to the latest handles on the Axesįear not, though: It is still quite simple to add a second legend (or third, or fourth.) to an axes. If you call plt.legend() or ax.legend() more than once, the first legend is removed and a new one is drawn. is set the same for all the subplots (eg. to have one definition for all subplots or how to control the seaborn default? To make clear goal, how to have a legend as in Subplot 1 where the labels come automatically from the data (but I can change them) and the location, font size. If I use plt.legend(), it only affects the Subplot before it (Subplot 4 in this case). If I use ax.legend() as in Subplot 2, then I can modify specific subplot but I lose the seaborn 'hue' feature (notice that the "sex" disappears) and it does not follow my font definitions. However, I'm not able to control its location (it has some default, see the difference between 1 and 3). If I use simply seaborn, I get a legend as in Subplot 1 and 3 - it has the 'hue' label and follows defined font size. Sns.swarmplot(x= 'day', y= 'total_bill', hue="sex", Sns.boxplot(x= 'day', y= 'total_bill', hue="sex", Sns.swarmplot(x= 'day', y= 'tip', hue="sex", Plt.rc('figure', titlesize=BIGGER_SIZE) # fontsize of the figure titleįig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2, figsize=(16,12)) Plt.rc('legend', fontsize=SMALL_SIZE) # legend fontsize Plt.rc('ytick', labelsize=MEDIUM_SIZE) # fontsize of the tick labels Plt.rc('xtick', labelsize=MEDIUM_SIZE) # fontsize of the tick labels Without specifying kind, a line plot is the default. Plt.rc('axes', labelsize=BIGGER_SIZE) # fontsize of the x and y labels subplotsTrue and layout, for each column Use the parameters subplotsTrue and layout (rows, cols) in This example uses kind'density', but there are different options for kind, and this applies to them all. Plt.rc('axes', titlesize=SMALL_SIZE) # fontsize of the axes title Plt.rc('font', size=SMALL_SIZE) # controls default text sizes Let's take the seaborn Smokers data set to illustrate it on: import seaborn as sns My second question is practical and showing my problems. have this legend in all subplots in this loc) and then overwrite this definition for specific subplots (eg by ax.legend())? My first question is, could someone please explain to me how those go together, how they work and if I have subplots, what is superior to what? Meaning can I set a general definition (eg. I have been playing a bit with plt.legend() and ax.legend() and legend from seaborn itself and I think I'm missing something.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |