Jupyter Notebook Matplotlib Inline

Jupyter Notebook Matplotlib inline is a magic command used in Python programming to display matplotlib plots inline inside the Jupyter Notebook.

What is Jupyter Notebook?

Jupyter Notebook is an open-source web application that allows programmers to create and share documents that contain live code, equations, visualizations, and narrative text. It is a popular tool used for data analysis, scientific research, and educational purposes.

What is Matplotlib?

Matplotlib is a plotting library for Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.

What is inline plotting?

Inline plotting is a feature of Jupyter Notebook that allows the user to display a plot or graph directly in the output cell of the notebook. This feature eliminates the need to open a separate window or display the plot in an external viewer.

How to use Jupyter Notebook Matplotlib inline?

To use Jupyter Notebook Matplotlib inline, you need to first import the matplotlib library and then use the magic command %matplotlib inline. The following code snippet demonstrates how to use Jupyter Notebook Matplotlib inline:

import matplotlib.pyplot as plt

%matplotlib inline

# Create sample data
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

# Create plot
plt.plot(x, y)

# Add labels and title
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('Sample plot')

# Display plot inline
plt.show()

The %matplotlib inline command is used to display the plot inline. Without this command, the plot would be displayed in a separate window or external viewer.

Conclusion

Jupyter Notebook Matplotlib inline is a useful feature that allows programmers to display matplotlib plots inline inside the Jupyter Notebook. It eliminates the need to open a separate window or display the plot in an external viewer.