The syntax is given below: (, loc='upper right') Here we set its positions to the upper right. We use the legend() method to add a legend and pass the loc parameter to set the location of the legend. Let’s see different positions of legend with examples: Upper Right Position of Legend There are different locations available in matplotlib to place a legend. Here we are going to learn how to add legend at a specific position of scatter plot. plt.show() method is used to visualize the plot on the user’s screen.Īlso, read: Matplotlib save as png Matplotlib scatter plot legend position.plt.legend() method is used to add a legend to the plot.plt.scatter() method is used to plot scatter graph.In the above example, we import the pyplot module of matplotlib.Let’s see an example of a scatter plot with the legend: # Import libraries bbox_to_anchor: represent the coordinates of legend on the graph.loc: represent the location of the legend. ![]() ncol: represent the number of columns in legend.title: specify the label you want to add. ![]() The parameters used above are described below: The syntax to add a legend to the plot: (, ncol=1, loc="upper left", bbox_to_anchor=(1,1)) We use the () method to mark out and label the elements of the graph. We can add a legend to the plot using the matplotlib module. Generate a Plot: Use the show() method to visualize the plot on the user’s windows.Add Legend: By using the legend() method we can add a legend to a plot.Plot scatter graph: By using the scatter() method we can draw a plot.Define X and Y: Define the data coordinates values used for the x-axis and y-axis.Defining Libraries: Import the important libraries which are required for data creation and manipulation ( Numpy and Pandas) and for data visualization ( pyplot from matplotlib).The following steps are used to plot scatter graph and add a legend to it are outlined below: It represent the reletionship between two variables in a data-set. Scatter Plot is a graph in which the values of two variables are plotted along two axes. Legendis an area that outlines the elements of the plot. Now before starting the topic firstly, we have to understand what does “legend” means and how “scatter plot created”. In this section, we learn about how to add a legend to the Scatter Plot in matplotlib in Python. Matplotlib scatter plot legend by color.Python seaborn scatter plot legend outside.Matplotlib scatter plot legend facecolor.Matplotlib scatter plot legend position.Where region_colors.values() are all unique values from your DataFrame in the form of a dictionary with their colours. If you need to create a custom legend with multiple options you can use Python list comprehensions like: custom =, , marker='.', color=i, linestyle='None', markersize=25) for i in region_colors.values()] In order to plot the Scatterplot we generate 2 lists of random integers by: x = np.random.normal(0,1,15)Īnd list of random colors by: colors = Ĭustom Scatterplot legend with multiple options Next we set the legend labels, the font size and the legend position by: plt.legend(custom,, loc='upper left', fontsize=15) Is shown in the legend and the automatic mechanism described aboveīy: custom =, , marker='.', markersize=20, color='b', linestyle='None'), Use this together with labels, if you need full control on what In order to create custom legend with Matplotlib and Scatterplot we follow next steps:įirst we start with creating the legend handles which are described as:Ī list of Artists (lines, patches) to be added to the legend. Notebook Explanation of custom Scatterplot legend ![]() Plt.legend(custom,, loc='upper left', fontsize=15) import randomĬustom =, , marker='.', markersize=20, color='b', linestyle='None'), The example is showing a simple Scatterplot of few random points. In this short post you can find an example on how to add custom legend in Matplotlib and Python.
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