How to use ax.get_ylim() in matplotlib?

To use ax.get_ylim() method in matplotlib, we can take the following steps.

Steps

• Set the figure size and adjust the padding between and around the subplots.

• Create a new figure or activate an existing figure.

• Add an 'ax' to the figure as part of a subplot arrangement.

• Create random data points using numpy.

• Plot y data points using plot() method.

• Use ax.get_ylim() method to print it.

• To display the figure, use Show() method.

Example

import numpy as np
from matplotlib import pyplot as plt

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

fig = plt.figure()

# Add an axes to the figure
ax = fig.add_subplot(1, 1, 1)

# Create random data points using numpy
y = np.random.rand(10)

# Plot the data points
ax.plot(y, 'b')

# Print the data points using ax.get_ylim
print("ylim:", ax.get_ylim())

plt.show()

Output

It will produce the following output −

On the console, you will get the ylim values−

ylim: (0.011546568085342858, 1.0373520884865295)