Customizing Figure Size and Layout

It's **Day 133**, and we're taking control. By default, Matplotlib charts are a bit small and squashed.

Setting the Size

You must set the size **before** you plot anything.

# Width: 12 inches, Height: 6 inches

plt.figure(figsize=(12, 6))

plt.plot(x, y)

plt.show()

Subplots: Multiple Charts in One Row

If you want to show a Line Chart next to a Bar Chart:

# 1 row, 2 columns

fig, ax = plt.subplots(1, 2, figsize=(15, 5))

# Plot on the first one

ax[0].plot(x, y)

ax[0].set_title("Trend")

# Plot on the second one

ax[1].bar(cats, vals)

ax[1].set_title("Categories")

plt.show()

Why this is professional

When شما are presenting in a meeting, tiny fonts and small charts are the easiest way to lose your audience. A large, well-proportioned figure is a hallmark of a senior analyst.

Your Task for Today

Create a figure that contains two charts side-by-side using `plt.subplots`.

*Day 134: Box Plots: Identifying Outliers.*