Add Text Inside the Plot in Matplotlib Last Updated : 11 Aug, 2025 Comments Improve Suggest changes Like Article Like Report The matplotlib.pyplot.text() function is used to add text inside the plot. The syntax adds text at an arbitrary location of the axes. It also supports mathematical expressions.Examples of Adding Text Inside the Plot1. Adding Mathematical EquationsIn this example, we plot a parabola (y = x²) and add text inside the plot. Python import matplotlib.pyplot as plt import numpy as np x = np.arange(-10, 10, 0.01) y = x**2 # Adding text inside the plot plt.text(-5, 60, 'Parabola $Y = x^2$', fontsize=22) plt.plot(x, y, c='g') plt.xlabel("X-axis", fontsize=15) plt.ylabel("Y-axis", fontsize=15) plt.show() Output:Explanation: np.arange(-10, 10, 0.01) creates x-values, y = x**2 forms the parabola, text Parabola Y=x2 is added at (-5, 60) and the green curve is plotted with axis labels.2. Adding a Rectangular Box Around TextWe can also place text inside a colored box using the bbox parameter. Python import matplotlib.pyplot as plt import numpy as np x = np.arange(-10, 10, 0.01) y = x**2 plt.xlabel("X-axis", fontsize=15) plt.ylabel("Y-axis", fontsize=15) # Adding text inside a rectangular box plt.text(-5, 60, 'Parabola $Y = x^2$', fontsize=22, bbox=dict(facecolor='red', alpha=0.5)) plt.plot(x, y, c='g') plt.show() Output:Explanation: The parabola y=x2 is plotted in green and text Parabola Y=x2 is added at (-5, 60) inside a semi-transparent red box using bbox.3. Adding Simple Labels ("Sine wave")We can add descriptive labels like “Sine wave” at any point in the plot. Python import matplotlib.pyplot as plt import numpy as np x = np.arange(0, 10, 0.1) y = np.sin(x) plt.plot(x, y) # Adding text inside the plot plt.text(3.5, 0.9, 'Sine wave', fontsize=23) plt.xlabel('X-axis', fontsize=15) plt.ylabel('Y-axis', fontsize=15) # plt.grid(True, which='both') # Uncomment to show grid plt.show() Output:Explanation: np.arange(0, 10, 0.1) generates x-values, y = np.sin(x) creates the sine wave, text Sine wave is added at (3.5, 0.9) and the curve is displayed with axis labels.4. Adding Text with Annotation (Arrows)Annotations are useful when you want to point to a specific part of a plot. Python import matplotlib.pyplot as plt x = ['Rani', 'Meena', 'Raju', 'Jhansi', 'Ram'] y = [5, 7, 9, 2, 6] plt.bar(x, y) # Adding text inside the plot plt.text(3, 7, 'Student Marks', fontsize=18, color='g') plt.xlabel('Students', fontsize=15) plt.ylabel('Marks', fontsize=15) # Annotating the highest score plt.annotate('Highest scored', xy=(2.4, 8), xytext=(3, 9), fontsize=16, color='g', arrowprops=dict(facecolor='red')) plt.show() Output:Explanation: A bar chart of student marks is plotted, text Student Marks is added at (3, 7) and plt.annotate() highlights the highest score (Raju) with a green label and red arrow. Comment More infoAdvertise with us Next Article Python Introduction G greeshmanalla Follow Improve Article Tags : Technical Scripter Python Technical Scripter 2020 Python-matplotlib Practice Tags : python Similar Reads Python Tutorial - Learn Python Programming Language Python is one of the most popular programming languages. 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