![]() Represent more than two dimensions on a scatter plot.Customize scatter plots for basic and more advanced plots.Use the required and optional input parameters.Create a scatter plot using plt.scatter().Matplotlib provides a very versatile tool called plt.scatter() that allows you to create both basic and more complex scatter plots.īelow, you’ll walk through several examples that will show you how to use the function effectively. One of the most popular modules is Matplotlib and its submodule pyplot, often referred to using the alias plt. Python has several third-party modules you can use for data visualization. Watch it together with the written tutorial to deepen your understanding: Using plt.scatter() to Visualize Data in PythonĪn important part of working with data is being able to visualize it. Left, bottom, width, height = (48, 17.5, 7, 4)Īnd this is how the plot with two filled rectangles over a scatter plot looks like.Watch Now This tutorial has a related video course created by the Real Python team. In this example, we use the similar code chunk twice to add two rectangles in different colors. It is also easy to add multiple rectangles to highlight multiple parts of the plot. Plt.text(31, 21.3,'rectangle',fontsize=16, color="red", weight="bold")Īdd Rectangle with text annotation Matplotlib How To Draw Multiple Rectangles on a Plot Made With matplotlib? # add text with text() function in matplotlib Here, we add text annotation right after we draw rectangle. We can add text to describe the rectangle using text() function in matplotlib. Here we also specify transparency level for filling.Īdd Rectangle with Fill Color Matplotlib How To Add Text Annotation to Rectangle on a Plot Made With matplotlib? We can fill the rectangle with a color by not using fill=False and specifying the color with facecolor. First, we will fill the rectangle with a color to highlight the portion of the plot better. Previously, we drew a simple rectangle.Now, let us customize it in a few different ways. Rect=mpatches.Rectangle((left,bottom),width,height,Īnd we get a nice scatter plot with rectangle highlighting the specific portion of the plot as we needed.Īdd Rectangle with mpatches in Matplotlib Python How To Draw Rectangle filled with color on a Plot Made With matplotlib? Plt.ylabel("Culmen Depth (mm)", fontweight ='bold',size=14) Plt.xlabel("Culmen Length (mm)",fontweight ='bold', size=14) Here we also specify x and y-axis labels in bold font with larger fontsize. Let us first make the scatter plot using scatter() function in matplotlib. To illustrate how to add rectangle on a plot made with matplotlib, we will use scatter plot made with matplotlib. We will use Palmer penguins dataset and load it directly from ’s github page.ĭf = pd.read_csv(penguins_data, sep="\t") And finally we will see how can we add multiple rectangles on matplotlib plot in python. Next we will also see an example of adding text to describe the addition of rectangle. ![]() We will first add a simple rectangle with specific color and then learn how to fill the rectangle with a color of choice. In this post, we will learn how to add rectangle on top of a plot made with matplotlib in Python. When you make data visualization one might want to highlight a specific region of the plot by adding some annotation.
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