matplotlib plotyy legend

October 25, 2020

Get the formula sheet here: Statistics in Excel Made Easy is a collection of 16 Excel spreadsheets that contain built-in formulas to perform the most commonly used statistical tests. If, on the other hand, you can be content with placing a comprehensive legend in the last subplot, you can do like this How to Remove Ticks from Matplotlib Plots The default for loc is loc="best" which gives unpredictable results when the bbox_to_anchor argument is used. For example, in the first graph, the order the labels are shown does not match the order the lines are plotted, so it can make visualization a bit harder, especially when there are many groups of data in the same axes. How to Change Font Sizes on a Matplotlib Plot, How to Remove Ticks from Matplotlib Plots, How to Perform Simple Linear Regression in Python (Step-by-Step), How to Perform Simple Linear Regression in R (Step-by-Step). Sorry - how to the bbox_to_anchor and loc keywords interact? 1) get current labels via get_legend_handles_labels() after plotting. You may want to give an example of what you are trying to achieve and/or better explain in how far the solutions are not what you are looking for. It may not make too much sense to use data coordinates, but since you asked for it this would be done via bbox_transform=ax.transData., The Overflow #44: Machine learning in production. According to the matplotlib legend documentation: The location can also be a 2-tuple giving the coordinates of the lower-left corner of the legend in axes coordinates (in which case bbox_to_anchor will be ignored). But maybe you're right and I'm just misunderstanding something with how matplotlib places these legends in general - do you know which corner of the legend is placed on the coordinates that are given to bbox_to_anchor? Is this possible? Create a PL/PSQL function that performs as fast as a normal query? I'll try to give an example when I'm in front of my computer. But maybe I am getting something else wrong? The following code shows how to place the legend above the Matplotlib plot: Note that the mode argument tells Matplotlib to expand the legend to the length of the plot and the ncol argument tells Matplotlib to place the legend labels in 2 columns. rev 2020.10.26.37891, Stack Overflow works best with JavaScript enabled, Where developers & technologists share private knowledge with coworkers, Programming & related technical career opportunities, Recruit tech talent & build your employer brand, Reach developers & technologists worldwide. On Dec 11, 2015, at 4:05 AM, Patrick Kofod Mogensen wrote: Felipe By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Service. Well I thought I had a complete explanation into. How to modify matplotlib legend after it has been created? Why is every electron in the universe not entangled with every other electron? matplotlib, Technology reference and information archive. When is a closeable question also a “very low quality” question? Below is an example where the bounding box is set to position (0.6,0.5) (green dot) and different loc parameters are tested. Ok sorry, just to check if I get this right: so when I just say loc="upper right", and give no bbox_to_anchor specification, matplotlib interprets that as the loc with respect to the axes. Thanks for contributing an answer to Stack Overflow! All examples assume you're working on the pyplot interface. Add legend to plot. Matplotlib puts the legend inside the plot area by default. Why didn't the Black rook capture the White bishop? 3) call plt.legend() passing the modified handles and labels. And yes, I did want to lower left corner to be at these coordinates. The following code shows how to place the legend in the bottom right corner outside of a Matplotlib plot: Note that the loc argument tells Matplotlib to place the lower left corner of the legend line at the (x,y) coordinates of (1,0) in the plot. We could also leave out the mode and ncol arguments if we simply want to place the legend in the top left corner above the plot: How to Change Font Sizes on a Matplotlib Plot Pass a list with a single element to have a single legend: While you can just pass a list with multiple texts to plt.legend(), it's better to label each plot individually so there are no errors. How to change the font size on a matplotlib plot, How to change legend size with matplotlib.pyplot, Matplotlib plots: removing axis, legends and white spaces. Note that the argument is a list of legends. Fortunately this is easy to do using the matplotlib.pyplot.legend() function combined with the bbox_to_anchor argument. Adding a legend to PyPlot in Matplotlib in the simplest manner possible, How to make IPython notebook matplotlib plot inline. Its not exactly clear in how far the solution from the linked question do not help you as by default the bbox_to_anchor argument takes the axes coordinates, just as you want it to be. What does a 4-element tuple argument for 'bbox_to_anchor' mean in matplotlib? Did the House Select committee on Assassinations come to the conclusion that JFK was "probably" eliminated as part of a conspiracy? What's the deal with Bilbo being some kind of "burglar"? Making statements based on opinion; back them up with references or personal experience. Often you may want to place the legend of a Matplotlib plot outside of the actual plot. See Matplotlib, Pyplot, Pylab etc: What's the difference between these and when to use each? 2) sort the handles (images) and labels the way you want. The following also demonstrates how transparency of the markers can be adjusted by giving alpha a … Sometimes the order in which legend labels are displayed is not the most adequate. So if legends are being set for some reason and you want to get rid of them, call ax.legend_.remove(). Matplotlib Subplots: Best Practices and Examples, « The Calibration-Accuracy Plot: Introduction and Examples, Pandas Dataframe Examples: Create and Append data ». Understand an I2C clock line implementation, Making an unrequested change at revision stage to a journal paper. site design / logo © 2020 Stack Exchange Inc; user contributions licensed under cc by-sa. Reorder labels in legend; Confused about pyplot and matplotlib? What is the Bias-Variance Tradeoff in Machine Learning. Lagrangian of a free particle in Special Relativity and equivalence between mass and energy. 29 Apr 2020 If you have many lines or plots in the same axes, it can get a litle bit difficult to view them all. Matplotlib, Pyplot, Pylab etc: What's the difference between these and when to use each? How do you change the size of figures drawn with matplotlib? All code is available online on this jupyter notebook. By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy. 'upper left' or 'lower right') as argument. function can be either a function handle or a character vector specifying plot, semilogx, semilogy, loglog, stem, or any MATLAB ® function that accepts the syntax Does removing an Exchange account from an iOS device remove the admin’s ability to wipe the device? Learn more. loc argument will inform matplotlib which part of the bounding box of the legend should be placed at the arguments of bbox_to_anchor. Some libraries such as Pandas default to setting legends in plots. How can a natural process create a near-perfect geometric shape as the most prominent feature of a planet? Why is the Economist model so sure Trump is going to lose compared to other models? I think what confuses me is that the legend does not actually start at 0.82, and indeed for my larger plot (with 5 subplots of this type), I need to use legend coordinates bbox_to_anchor=(0.04, 1.15, 1., .102) in order to make the legend appear on coordinates (0.02, 0.83). Scatter plots with a legend¶. Which theoretical propulsion system has the highest specific impulse? plotyy(X1,Y1,X2,Y2,function) uses the specified plotting function to produce the graph. See especially this answer for a detailed explanation and the question What does a 4-element tuple argument for 'bbox_to_anchor' mean in matplotlib? How to Show Gridlines on Matplotlib Plots, Your email address will not be published. If there are multiple axes on your plot, you can add legends to a single axis if you wish. If you don't provide a location for the legend, matplotlib tries to figure out by itself where it should place it. Get the spreadsheets here: Try out our free online statistics calculators if you’re looking for some help finding probabilities, p-values, critical values, sample sizes, expected values, summary statistics, or correlation coefficients. According to the matplotlib legend documentation: The location can also be a 2-tuple giving the coordinates of the lower-left corner of the legend in axes coordinates (in which case bbox_to_anchor will be ignored). For more info on how to plot multiple plots in the same Figure, see Matplotlib Subplots: Best Practices and Examples.

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