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In matplotlib, there are many ways to add texts to a plot. The easiest and most feasible way is using the plt. text() function. plt.

The annotate() function in the pyplot module (or annotate method of the Axes class) is used to draw an arrow connecting two points on the plot. This annotates a point at xy in the given coordinate ( xycoords ) with the text at xytext given in textcoords .

How to add text to a plot. text() is the main function we can use to add text to a plot. We start by adding the string “function” with fontsize=12 to the location (10, 20). By default, the location is given in data coordinates.

Step 1 — Import Pillow Library. First things first, let's the library that we will need for this project. ... Step 2 — Choose an Image. In this step, we will choose and import an image that we want to add text on it. ... Step 3 — Font Selection. ... Step 4 — Render the Text. ... Step 5 — Export the Result.

Basic text commands text() - add text at an arbitrary location to the Axes; matplotlib. ... xlabel() - add an axis label to the x-axis; matplotlib. ... ylabel() - add an axis label to the y-axis; matplotlib. ... title() - add a title to the Axes; matplotlib. ... figtext() - add text at an arbitrary location to the Figure; matplotlib.

How to add text inside a plot in Matplotlib? Set the figure size and adjust the padding between and around the subplots. Create x and y data points using numpy. Place text with some text properties. Plot x and y using plot() method. Turn off the axes. To display the figure, use show() method.

The matplotlib.pyplot.plot() function provides a unified interface for creating different types of plots. The simplest example uses the plot() function to plot values as x,y coordinates in a data plot. In this case, plot() takes 2 parameters for specifying plot coordinates: Parameter for an array of X axis coordinates.