![]() ![]() After this, we use the pandas DataFrame() method to define labels and data coordinates and we use the plot() method to draw a stacked bar chart.In the above example, we import matplotlib.pyplot, and pandas library.The syntax to add legend title and change its font-size: # Import librariesĪx.set_xticklabels(labels,rotation='horizontal')Īx.legend(title='SUBJECT',title_fontsize=30) We also pass the title_fontsize argument and set its value to 30. We use the legend() method to add the legend title. Here we learn to set the font size of the legend title of the plot in Matplotlib. Read Matplotlib plot_date Matplotlib legend title font size After that, we use plt.title() method to add title on the plot and we also pass the fontsize argument, set’s its value to 10.Then by using plt.plot() method we plot the line chart.After this, we define data points that are used for data plotting. In the above example, we import matplotlib.pyplot library to plot a chart.Plt.title("Straight Line Function Chart", fontsize=10) Let’s see an example to set title font size: # Import Library fontsize: set the font size of your choice.The above-used parameters are described as below: The syntax to assign a title to the plot and to change its font size is as below: # To add title In Matplotlib, to set the title of a plot you have to use the title() method and pass the fontsize argument to change its font size. Generate a Plot: By using show() method we can visulaize a plot.Ĭheck out, How to install matplotlib python Matplotlib set title font size.Add Title: By using title() method we can add titile to a chart.Plot chart or figure: By using bar(), pie(), scatter(), plot(), etc methods we can draw a plot.Define X and Y: Define the data coordinated 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, For data visualization: pyplot from matplotlib).The following steps are used to add the title to a plot are outlined below: Title: A name that is used to describes the plot in matplotlib. Before starting the topic firstly, we have to understand what does “title” means. We then saw how to use the fontsize and prop parameters to change the font size of a Matplotlib legend.Here we are going to learn about how to change the font size of the title in matplotlib in Python. We first saw what a legend is in Matplotlib, and some examples to show its basic usage and parameters. It can be used to describe the elements that maker up a graph. In this article, we talked about the legend function in Matplotlib. Here's the output: matplotlib legend size using prop parameter Summary Here's how to use it: import matplotlib.pyplot as plt How To Change Legend Font Size in Matplotlib Using the prop ParameterĪnother way of changing the font size of a legend is by using the legend function's prop parameter. ![]() You'd also notice the legend was placed at the upper left corner of the graph using the loc parameter. We assigned a font size of 20 to the fontsize parameter to get the legend size in the image above: fontsize="20". Here's what the legend would look like: matplotlib legend size using fontsize parameter Plt.legend(, fontsize="20", loc ="upper left") Here's another code example with the fontsize parameter included: import matplotlib.pyplot as plt Plt.show() matplotlib graph with default legend font size Here's what the default legend font size looks like: import matplotlib.pyplot as plt You can change the font size of a Matplotlib legend by specifying a font size value for the fontsize parameter. ![]() How To Change Legend Font Size in Matplotlib Using the fontsize Parameter You can change the position of the legend using the following values of the loc parameter: This makes it easier for anyone viewing the graph to know that the blue line denotes age while the orange line denotes number in the graph. In the graph above, we've used the legend function to describe each line in the plot. Plt.show() two line graph with different legend descriptions Here's an example: import matplotlib.pyplot as plt With the legend function, you can assign different descriptions to each line of a graph. A description of "Data" was assigned to the legend, and was placed in the upper right corner of the graph using the upper right value of the loc parameter. In the graph above, we described the plot using a legend. Plt.show() matplotlib graph with a legend You'll then learn how to change the font size of a Matplotlib legend using:Ī legend is a Matplotlib function used to describe elements that make up a graph.Ĭonsider the graph below: import matplotlib.pyplot as plt In this article, you'll learn what a legend is in Matplotlib, and how to use some of its parameters to make your plots more relatable. You can modify different properties of a plot - color, size, label, title and so on - when working with Matplotlib. ![]()
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