This tutorial shows several examples of how to use this function in practice. 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). Description. How to specify legend position in matplotlib in graph coordinates. If, on the other hand, you can be content with placing a comprehensive legend in the last subplot, you can do like this I am aware of the bbox_to_anchor keyword and this thread, which very helpfully suggests how to manually place the legend: However, I'd like to use the coordinates of my x- and y-axis in the graph to specify the legend position (inside the plot), as I might need to move the figure into a large figure with a different axis environment, and I don't want to manually play around with those coordinates every time I do this. If a different bounding box is specified, is is usually sufficient to use the first two values, which give (x0, y0) of the bounding box. 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. 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).

Fortunately this is easy to do using the, How to Show Gridlines on Matplotlib Plots. Matplotlib puts the legend inside the plot area by default. Your email address will not be published. You can change location of legend using loc argument. Lagrangian of a free particle in Special Relativity and equivalence between mass and energy. Fortunately this is easy to do using the matplotlib.pyplot.legend() function combined with the bbox_to_anchor argument. 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. Felipe Sorry - how to the bbox_to_anchor and loc keywords interact? Example 2: Place Legend in Bottom Right Corner. All examples assume you're working on the pyplot interface.

But when I say loc="upper right" and give a bbox_to_anchor specification, that bbox_to_anchor specification will be interpreted with respect to the axes and the loc keyword refers to the corner of the legend? Reorder labels in legend; Confused about pyplot and matplotlib? To create a scatter plot with a legend one may use a loop and create one scatter plot per item to appear in the legend and set the label accordingly. Below is an example where the bounding box is set to position (0.6,0.5) (green dot) and different loc parameters are tested. If you don't provide a location for the legend, matplotlib tries to figure out by itself where it should place it. See Matplotlib, Pyplot, Pylab etc: What's the difference between these and when to use each?

For unknown reasons, bbox_transform=fig.transFigure does not work with me. 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? https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.legend. Often you may want to place the legend of a Matplotlib plot outside of the actual plot. All examples assume you're working on the pyplot interface. If you have many lines or plots in the same axes, it can get a litle bit difficult to view them all. In addition to @ImportanceOfBeingErnest's post, I use the following line to add a legend at an absolute position in a plot.

Stack Overflow for Teams is a private, secure spot for you and I'll try to give an example when I'm in front of my computer. Statology is a site that makes learning statistics easy. The loc parameter specifies in which corner of the bounding box the legend is placed. @mzzx if you find this answer helpful (independent of whether you accept it or not) you may still upvote - which is kind of the same as saying "thanks". How do I set the figure title and axes labels font size in Matplotlib?

You can adjust it manually by accessing the underlying PyPlot figure (I think "plt.o.fig"). The following code shows how to place the legend in the top right corner outside of a Matplotlib plot: Note that the loc argument tells Matplotlib to place the upper left corner of the legend line at the (x,y) coordinates of (1,1) in the plot. Create a PL/PSQL function that performs as fast as a normal query? Adding a legend to PyPlot in Matplotlib in the simplest manner possible, How to make IPython notebook matplotlib plot inline. Scatter plots with a legend¶. The default for bbox_to_anchor is (0,0,1,1), which is a bounding box over the complete axes. Making statements based on opinion; back them up with references or personal experience. Understand an I2C clock line implementation, Making an unrequested change at revision stage to a journal paper. Are generators defined in Tohoku paper equivalent to that defined in Wikipedia (Which I believe is a more widely used definition). Which theoretical propulsion system has the highest specific impulse? The default for loc is loc="best" which gives unpredictable results when the bbox_to_anchor argument is used. The following also demonstrates how transparency of the markers can be adjusted by giving alpha a …

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. 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. Matplotlib: Lines on Top of Bars, Legend on the Left, No Splines, Plotlabels of primary Y-axis are not displayed, Place legend above the ax at a consistent distance, Legend is cut off, solving the issue is affecting the font size in an unwanted way. Thanks for contributing an answer to Stack Overflow! Use argument bbox_to_anchor to reposition the legend box. to set the legend's lower left corner to the specified (x, y) position. https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.legend, 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). Note that the argument is a list of legends. Why is every electron in the universe not entangled with every other electron? 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. Some libraries such as Pandas default to setting legends in plots. Matplotlib Subplots: Best Practices and Examples, « The Calibration-Accuracy Plot: Introduction and Examples, Pandas Dataframe Examples: Create and Append data ». Do you get advantage on the Steel Wind Strike spell's attacks because you "vanish"?

Confused about pyplot and matplotlib? Learn more. 1) get current labels via get_legend_handles_labels() after plotting. 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? 'upper left' or 'lower right') as argument. 29 Apr 2020 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

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