![]() In other cases, one might still need to adapt. Adding the legend: To add a legend to a particular subplot, use the legend() function with the desired location and additional parameters, such as the font. Each subplot has the same units, so Id like to clean up the figure. Because of the default spacings between axes and figure edge, this suffices to place the legend such that it does not overlap with the pie. We can change the position of the legend and we can also add the class for the legend. I am using the following code to loop through a handful of directories to plot data. Here is a complete example to show the usage import pandas as pdĭf.Python Dictionaries Access Items Change Items Add Items Remove Items Loop Dictionaries Copy Dictionaries Nested Dictionaries Dictionary Methods Dictionary Exercise Python If.Else Python While Loops Python For Loops Python Functions Python Lambda Python Arrays Python Classes/Objects Python Inheritance Python Iterators Python Polymorphism Python Scope Python Modules Python Dates Python Math Python JSON Python RegEx Python PIP Python Try. plt.legend (pie 0,labels, bboxtoanchor (1,0), loc'lower right', bboxtransformplt.gcf ().transFigure) Here (1,0) is the lower right corner of the figure. Even when using - there is no parameter which adjusts legend position, only if the legend is drawn. axes03 In 153: df.plot(subplotsTrue, axtarget1, legendFalse, sharexFalse. Therefore, the only way to do this at present is to use plt.legend() directly - as outlined in my original answer, below.Īs the comments indicate, you have to use plt.legend(loc='lower left') to put the legend in the lower left. We use the standard convention for referencing the matplotlib API. I want 'Northwest' to show in the same color (that of the subplot for 2020) across all 3 subplots. Yet, this region shows in different colors across the 3 subplots, despite the value being constant. The bboxtoanchor keyword gives a great degree of control for manual legend placement. Please see the documentation at legend () for more details. None of those methods allow for legend positioning via their keyword arguments. What I mean by this is that 'Northwest' (the only region highlighted in the 1980 subplot) had the same value of 1 in all years 1980, 20. The location of the legend can be specified by the keyword argument loc. ![]() The remaining **kwargs are passed into the underlying matplotlib.pyplot method which corresponds to the specified 'kind' argument (defaults to ). This is how I was able to move the legend to a particular place inside the plot and change the aspect and size of the plot: import matplotlib e('Agg') import matplotlib.pyplot as plt ('ggplot') import seaborn as sns sns.set(style'ticks') figurename 'raterviolinplot.png' figureoutputpath outputpath + figurename violplot sns.factorplot(x'Rater', y. It does not accept legend position strings. I would like the legend (same across all 11 subplots) to replace the 12th subplot. In its current implementation (version 1.2.3) the 'legend' argument of plot accepts only a boolean or the string 'reverse': I have a figure with 11 scatter plots as subplots. ![]() Then play with the offset in the legend bboxtoanchor part of the legend command, to get the legend box where you want it. ![]() To clarify the original answer, there is presently no way to do this through . Use the subplotsadjust() function to move the bottom of the subplot up: fig.subplotsadjust(bottom0.2) <- Change the 0.02 to work for your plot. ![]()
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