Fplot Legend 4,1/5 7913 votes

Fplot(,LineSpec) specifies the line style, marker symbol, and line color.For example, '-r' plots a red line. Use this option after any of the input argument combinations in the previous syntaxes.

Plot Legendre Polynomials

  • When we want to put legend somewhere in a figure using Matplotlib, most of the time, the option loc='best' will produce the desired results. However, sometimes, we may want to have finer control over where the legend should be in the image. For example, we may want to put the legend outside of the axes, which is impossible using loc='best'.
  • Fplot(,Name,Value) specifies line properties using one or more Name,Value pair arguments. Use this option with any of the input argument combinations in the previous syntaxes. Name,Value pair settings apply to all the lines plotted. To set options for individual lines, use the objects returned by fplot.
  • Fplot(fun, limits). fplot is used to plot a function between specified limits. fun is a function handle to the function to be plotted. limits is a vector specifying the x-axis limits (xmin,xmax) or the x and y axes limits (xmin,xmax,ymin,ymax). fplot is an alternative to plot where, instead of having to generate the x and y coordinates first and passing them as arguments to.
  • To make a legend for lines which already exist on the axes (via plot for instance), simply call this function with an iterable of strings, one for each legend item. For example: ax. Plot (1, 2, 3) ax.

Legends are a useful way to label data series plotted on a graph. These examples show how to create a legend and make some common modifications, such as changing the location, setting the font size, and adding a title. You also can create a legend with multiple columns or create a legend for a subset of the plotted data.

Create Simple Legend

Create a figure with a line chart and a scatter chart. Add a legend with a description for each chart. Specify the legend labels as inputs to the legend function.

Specify Labels Using DisplayName

Alternatively, you can specify the legend labels using the DisplayName property. Set the DisplayName property as a name-value pair when calling the plotting functions. Then, call the legend command to create the legend.

Legends automatically update when you add or delete a data series. If you add more data to the axes, use the DisplayName property to specify the labels. If you do not set the DisplayName property, then the legend uses a label of the form 'dataN'.

Add a scatter chart for 2017 data.

Customize Legend Appearance

The legend function creates a Legend object. Legend objects have properties that you can use to customize the appearance of the legend, such as the Location, Orientation, FontSize, and Title properties. For a full list, see Legend Properties.

You can set properties in two ways:

  • Use name-value pairs in the legend command. In most cases, when you use name-value pairs, you must specify the labels in a cell array, such as legend({'label1','label2'},'FontSize',14).

  • Use the Legend object. You can return the Legend object as an output argument from the legend function, such as lgd = legend. Then, use lgd with dot notation to set properties, such as lgd.FontSize = 14.

Legend Location and Orientation

Specify the legend location and orientation by setting the Location and Orientation properties as name-value pairs. Set the location to one of the eight cardinal or intercardinal directions, in this case, 'northwest'. Set the orientation to 'vertical' (the default) or 'horizontal', as in this case. Specify the labels in a cell array.

Legend Font Size and Title

Specify the legend font size and title by setting the FontSize and Title properties. Assign the Legend object to the variable lgd. Then, use lgd to change the properties using dot notation.

Legend with Multiple Columns

Create a chart with six line plots. Add a legend with two columns by setting the NumColumns property to 2.

Include Subset of Charts in Legend

Combine two bar charts and a scatter chart. Create a legend that includes only the bar charts by specifying the Bar objects, b1 and b2, as the first input argument to the legend function. Specify the objects in a vector.

See Also

legend Legend Properties

  • guides() : set or remove the legend for a specific aesthetic


The goal of this R tutorial is to describe how to change the legend of a graph generated using ggplot2 package.


Related Book:


GGPlot2 Essentials for Great Data Visualization in R Movie

ToothGrowth data is used in the examples below :

Make sure that the variable dose is converted as a factor variable using the above R script.

The position of the legend can be changed using the function theme() as follow :

The allowed values for the arguments legend.position are : “left”,“top”, “right”, “bottom”.

Note that, the argument legend.position can be also a numeric vector c(x,y). In this case it is possible to position the legend inside the plotting area. x and y are the coordinates of the legend box. Their values should be between 0 and 1. c(0,0) corresponds to the “bottom left” and c(1,1) corresponds to the “top right” position.

It’s possible to use the function guides() to set or remove the legend of a particular aesthetic(fill, color, size, shape, etc).

mtcars data sets are used :

Default plot without guide specification

The R code below creates a scatter plot. The color and the shape of the points are determined by the factor variables cyl and gear, respectively. The size of the points are controlled by the variable qsec.

Change the order for multiple guides

The function guide_legend() is used :

If a continuous color is used, the order of the color guide can be changed using the function guide_colourbar() :

Remove a legend for a particular aesthetic

The R code below removes the legend for the aesthetics color and size :

Removing a particular legend can be done also when using the functions scale_xx. In this case the argument guide is used as follow :

This analysis has been performed using R software (ver. 3.1.0) and ggplot2 (ver. 1.0.0)


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Plot Legend Matplotlib


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