![]() I have now fixed the issues and tidied the arbitrary text to show how these are also considered within the bbox_extra_artists algorithm. Despite this, numerous edits recently have insisted on putting these in, often in ways that led to the code raising an error. Change the font size for the upper subplot and the line width for the lower. ax1 subplot (2,1,1) Z peaks plot (ax1,Z (1:20,:)) ax2 subplot (2,1,2) plot (ax2,Z) Modify the axes by setting properties of the Axes objects. The intent of this question was to completely avoid the use of arbitrary coordinate placements of arbitrary text as was the traditional solution to these problems. Specify the Axes objects as inputs to the plotting functions to ensure that the functions plot into a specific subplot. The key to this method is to have the subplots span multiple positions. In this case using a subplot grid that has 2 rows and 12 columns will suffice. Text = ax.text(-0.2,1.05, "Aribitrary text", transform=ax.transAxes)įig.savefig('samplefigure', bbox_extra_artists=(lgd,text), bbox_inches='tight') Method 1: Continuing to Use subplot () If you wish to continue using the subplot () function you can use the Lowest-Common-Multiple (LCM) of 3 and 4 in this case. Lgd = ax.legend(handles, labels, loc='upper center', bbox_to_anchor=(0.5,-0.1)) I originally programmed the legends to be inside the subplots and were interactive to hide or show different data. I am trying to represent data from impacts on a structure, and I wish to display them in a report. Handles, labels = ax.get_legend_handles_labels() I wish to move a legend of a subplot to one side of the whole figure, without manipulating the original subplot to compensate. This did in fact resize the figure box as desired. This is apparently similar to calling tight_layout, but instead you allow savefig to consider extra artists in the calculation. #Note that the bbox_extra_artists must be an iterable ![]() The code I am looking for is adjusting the savefig call to: fig.savefig('samplefigure', bbox_extra_artists=(lgd,), bbox_inches='tight') Implementation Note: A legend is implemented as an additional axes object of the current figure with the tag set to legend. Sorry EMS, but I actually just got another response from the matplotlib mailling list (Thanks goes out to Benjamin Root). I have the (only slightly) longer version of this code on pastebin Answers Im trying to plot 81 variables into one plot in MATLAB and I need a legend with 81 respective labels. Is there a historical reason? Is Matlab equally poor on this matter? ![]() Notice how the final label 'Inverse tan' is actually outside the figure box (and looks badly cutoff - not publication quality!)įinally, I've been told that this is normal behaviour in R and LaTeX, so I'm a little confused why this is so difficult in python. import matplotlib.pyplot as pltĪx.plot(x, np.arctan(x), label='Inverse tan') What I would like to be able to do is dynamically expand the size of the figure box to accommodate the expanding figure legend. When plot editing mode is not enabled, you can still edit the text labels in a legend: Double-click on a text label in the legend. The example of a complex legend in the documentation demonstrates the need for this because the legend in their plot actually completely obscures multiple data points. Shrinking the axes, however, is not an ideal solution because it makes the data smaller making it actually more difficult to interpret particularly when its complex and there are lots of things going on. fig file and have no access to the relevant data to replot the figure. Now I would prefer the plots to be in subplot(2,1) (two rows, one column) configuration. I saved the figure as 'fig' file for later use. It seems that the answers in these questions have the luxury of being able to fiddle with the exact shrinking of the axis so that the legend fits. a while ago I created a figure with two subplots in the configuration subplot(1,2,x) (one row, two columns). Matplotlib savefig with a legend outside the plot Any help would be appreciated.I'm familiar with the following questions: ![]() I'm very new to Matplotlib and I'm finding the API docs difficult to read.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |