Part 14 – Matplotlib Subplots in Python
Learn Matplotlib subplots in Python — plot multiple charts in one figure using subplots(), 2D array indexing, and subplot2grid with rowspan & colspan.
In the last lesson, you built and styled single-line charts. Now it's time to put several plots together in one figure — an essential skill for dashboards, comparisons, and reports. This hands-on lesson is the next step in the Python & Data Science Masterclass, and we plot everything together using data from NumPy arrays.
In this 11-minute lesson, you'll learn to:
Create multiple plots in one figure with plt.subplots()
Add a title to each subplot AND a suptitle for the whole figure
Lay out subplots using the plt. approach
Access and fill subplots using 2D array indexing
Build custom grids with subplot2grid() — including rowspan and colspan to make plots span multiple rows and columns
By the end you'll be able to arrange several charts into one clean, professional figure exactly the way you want.
⏱️ CHAPTERS
00:00 – Introduction to subplotting in Matplotlib
00:19 – Understanding subplot arguments: rows, columns, and index
01:26 – Example: Plotting two graphs side-by-side
02:32 – Example: Arranging subplots vertically in one column
04:57 – Coding a 2x2 grid with four subplots
06:53 – Creating a 2x3 grid with six subplots
07:21 – Adding individual titles to each subplot
08:21 – Using `suptitle` for an overall figure title
09:12 – Using indexing as a shortcut for subplotting
10:17 – Advanced layouts with `subplot2grid` and spanning
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Previous lesson — Matplotlib line charts, markers & styling: • Part 13 – Matplotlib Tutorial: Line Charts...
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💬 Comment: What layout are you trying to build — a 2x2 grid, or something custom?
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