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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)
Updated on: 08-Oct-2021
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