To make a Matplotlib figure span the entire width of a Jupyter Notebook cell, you can use the following approach:

1. Set the Figure Size

Use the figsize parameter in plt.figure() or directly in plotting functions like plt.subplots() to set the width and height of the figure. For example:

python
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import matplotlib.pyplot as plt

plt.figure(figsize=(15, 5))  # Width: 15 inches, Height: 5 inches
# Your plotting code here
plt.show()

2. Use Jupyter's Built-in Magic

Jupyter Notebook supports a magic command to automatically adjust the figure size to the cell width:

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%matplotlib inline
%config InlineBackend.figure_format = 'retina'
plt.rcParams['figure.figsize'] = [15, 5]  # Set default figure size

3. Adjust the Notebook Cell Width

If you want the figure to span the entire notebook width, you can also adjust the notebook's cell output width using custom CSS:

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from IPython.display import display, HTML

display(HTML("<style>.container { width:100% !important; }</style>"))

Then, set the figure width to a large value (e.g., 20 inches):

python
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plt.figure(figsize=(20, 5))
# Your plotting code here
plt.show()

4. Use tight_layout

To ensure labels and titles fit within the figure, use tight_layout():

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plt.tight_layout()

Example

Here’s a complete example:

python
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import matplotlib.pyplot as plt

# Set the figure size
plt.figure(figsize=(20, 5))

# Plot something
plt.plot([1, 2, 3, 4], [1, 4, 9, 16])

# Adjust layout
plt.tight_layout()

# Show the plot
plt.show()

This will make the figure span the entire width of the Jupyter Notebook cell. Adjust the figsize values as needed for your specific use case!