How to make longer subplot tick marks in Matplotlib?

To make longer subplot tick marks in Matplotlib, we can use the tick_params() method to control the length and width of both major and minor ticks.

Steps

• Create a subplot using subplot() method

• Plot data points to visualize the tick marks

• Enable minor ticks using minorticks_on()

• Use tick_params() to customize tick appearance with length and width parameters

• Display the figure using show() method

Basic Example

Here's how to create longer tick marks on a subplot ?

import matplotlib.pyplot as plt

# Set figure size
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True

# Create subplot
ax1 = plt.subplot()

# Plot simple data
ax1.plot(range(5), [x**2 for x in range(5)], linewidth=2, marker='o')

# Enable minor ticks
ax1.minorticks_on()

# Customize major ticks (longer and thicker)
ax1.tick_params('both', length=20, width=2, which='major')

# Customize minor ticks (shorter but visible)
ax1.tick_params('both', length=10, width=1, which='minor')

plt.title('Subplot with Custom Tick Marks')
plt.show()

Parameters Explained

Customizing Individual Axes

You can also customize x and y axes separately ?

import matplotlib.pyplot as plt

# Create subplot
fig, ax = plt.subplots(figsize=(8, 6))

# Plot data
x = [1, 2, 3, 4, 5]
y = [2, 4, 1, 5, 3]
ax.plot(x, y, 'b-o', linewidth=2)

# Enable minor ticks
ax.minorticks_on()

# Customize x-axis ticks (longer)
ax.tick_params(axis='x', length=25, width=3, which='major')
ax.tick_params(axis='x', length=12, width=1, which='minor')

# Customize y-axis ticks (shorter)
ax.tick_params(axis='y', length=15, width=2, which='major')
ax.tick_params(axis='y', length=8, width=1, which='minor')

ax.set_title('Different Tick Lengths for X and Y Axes')
plt.show()

Conclusion

Use tick_params() with length and width parameters to create longer tick marks. Enable minor ticks with minorticks_on() for better plot readability and professional appearance.