![]() In the example below, we loaded the 'tips' dataset available in the Seaborn library and made a Seaborn scatterplot with the data. Sns.scatterplot(data=df, x='total_bill', y='tip', hue='day') # Moving a Legend in Seaborn Using Named Locations It will determine where the best location for the legend is, depending on where the data points are in the chart. By default, Seaborn will use a location of 'best' or 0. Let’s start by looking at named locations first, since they’re quite a bit more intuitive. The table below breaks down the different locations, both named and numbered, that are available: Location String The argument accepts both a named location as well as a numbered location. In order to move a legend location in Seaborn, use the loc= argument in the plt.legend() function. Let’s dive into how to move the legend location first. When you call the function, you can pass in various parameters that allow you to customize the legend. In general, you call the function as shown below: import seaborn as sns ![]() legend() function available in Matplotlib pyplot. In order to customize legends in Seaborn, you can use the. How to Add a Shadow to a Legend in Seaborn.How to Change the Marker Position in a Legend in Seaborn.How to Change Columns in a Legend in Seaborn.How to Remove the Border from a Legend in Seaborn.How to Change Font Size in a Legend in Seaborn.How to Add a Title to a Legend in Seaborn.How to Move a Legend Outside in Seaborn.How to Move a Legend Location in Seaborn.How Can You Customize Legends in Seaborn.In case you have further questions, you may leave a comment below. This post has shown how to add a legend to plots in Python Matplotlib and seaborn. In the video, we explain in some more detail how to add a legend to plots in Python Matplotlib and seaborn.įurthermore, you could have a look at some other tutorials on Statistics Globe: ![]() Lastly, plt.show() is used to display the plot figure.ĭo you need more explanations on how to add a legend to a plot in Python Matplotlib and seaborn? Then you should have a look at the following YouTube video of the Statistics Globe YouTube channel. The result is a legend displayed on the top left corner of the plot, which is the default position. Next, we introduced the plt.legend() function wherein we parsed an array of weekdays to the labels = argument and defined the legend title as well. That argument colored the points by the day of the week to which they belong. In the sns.scatterplot() function, we defined a new argument hue = to which we parsed day. scatterplot (df ,x = "total_bill", y = "tip", hue = "day" ) Therefore, run the code below to load the dataset: We will make use of the tips dataset that comes pre-loaded in seaborn. In this example, we are going to build a simple scatter plot using the seaborn library.įirst, though, we will need to load the dataset that we will visualize in a scatter plot. The legend position can be changed, however, that is not the focus of this tutorial.Įxample 3: Build Simple Scatter Plot in seaborn Next, we introduced a new function plt.legend(), which displays the legend on the plot in the top left corner as the default position. In the plt.plot() function, we defined a new argument label = where we parsed the legend label for each of the two lines plotted on the graph. The only difference is that, here, we have added a legend to the plot. The above plot is the same as the one created in the previous example.
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