matplotlib.pyplot.subplots

ToolPythonBeginner

Classification with scikit-learn: telling two populations apart

• fig, ax = plt.subplots()
• fig, ax = plt.subplots()

ToolPythonBeginner

Counting cells with scipy.ndimage: how many are there, and how large?

• fig, axes = plt.subplots(1, 2, figsize=(7, 3.4), sharey=True)
• fig, ax = plt.subplots(figsize=(7, 3.4))
• fig, axes = plt.subplots(1, 6, figsize=(7.5, 1.7))
• fig, axes = plt.subplots(1, 3, figsize=(7, 2.6))
• fig, (ax, ax_h) = plt.subplots(2, 1, figsize=(7, 9.4), height_ratios=[7, 2.2])

RecipePythonBeginner

Draw a phase portrait of a two-variable ODE system

• fig, ax = plt.subplots(figsize=(7, 4), dpi=110)

ToolPythonBeginner

Eigenvalues with numpy.linalg: normal modes of coupled oscillators

• fig, axes = plt.subplots(2, 1, figsize=(7, 4.4), sharex=True)
• fig, axes = plt.subplots(3, 2, figsize=(8, 6.3), sharex="col", width_ratios=(4.2, 3.3))

ToolPythonIntermediate

Filtering with scipy.signal: mains hum and noise out of an ECG

• fig, ax = plt.subplots()
• fig, ax = plt.subplots()
• fig, ax = plt.subplots()
• fig, axes = plt.subplots(2, 1, sharex=True, figsize=(7, 4.4))

RecipePythonBeginner

Fit a curve to data with error bars and draw a confidence band

• fig, ax = plt.subplots(figsize=(7, 4), dpi=110)

ToolPythonBeginner

Matplotlib from the ground up: a two-panel figure for one journal column

• fig, axs = plt.subplots(2, 1)
• fig, axs = plt.subplots(2, 1, sharex=True, height_ratios=[2, 1], layout="constrained")
• fig, axs = plt.subplots(2, 1, figsize=COLUMN, sharex=True, height_ratios=[2, 1],
• fig, axs = plt.subplots(2, 1, figsize=COLUMN, sharex=True, height_ratios=[2, 1],

ToolPythonBeginner

Numerical integration with scipy.integrate: the area under a measured peak

• fig, ax = plt.subplots(figsize=(7, 3.2))
• fig, ax = plt.subplots()

ToolPythonBeginner

Random numbers with numpy.random: ten thousand reproducible random walks

• fig, (top, bottom) = plt.subplots(2, 1, sharex=True, figsize=(7, 4.4))

ConceptPythonBeginner

The Fourier transform: asking a signal how much of each frequency it contains

• fig, ax = plt.subplots(figsize=(8, 3))
• fig, axes = plt.subplots(3, 1, figsize=(8, 6.5), sharex=True)
• fig, ax = plt.subplots(figsize=(8, 3.2))
• fig, ax = plt.subplots(figsize=(8, 3.2))
• fig, ax = plt.subplots(figsize=(8, 3.2))

ToolPythonBeginner

pandas from the ground up: a week of temperature logs

• fig, ax = plt.subplots()

ToolPythonBeginner

scipy.stats from the ground up: is the difference between two samples real?

• fig, ax = plt.subplots(figsize=(5, 3.6))
• fig, (top, bottom) = plt.subplots(2, 1, figsize=(7, 4.4), sharex=True)

ToolPythonIntermediate

solve_ivp from the ground up: the pendulum beyond small angles

• fig, ax = plt.subplots()
• fig, ax = plt.subplots(figsize=(7, 4))