Basic Scatterplot with Defined Axis Limits

You can control the limits of X and Y axis of your plots using matplotlib function plt.xlim() and plt.ylim(). In this example, lmplot() function of seaborn is used to plot a basic scatterplot with iris dataset. There are 2 arguments in these functions;

  • plt.xlim() : (left, right)
  • plt.ylim() : (buttom, top)

Control Axis Limits of Plot: Basic Scatterplot with Defined Axis Limits

# library & dataset
import seaborn as sns
import matplotlib.pyplot as plt
df = sns.load_dataset('iris')
 
# basic scatterplot
sns.scatterplot(
   x="sepal_length",
   y="sepal_width",
   data=df
)
 
# control x and y limits
plt.ylim(0, 20)
plt.xlim(0, None)
 
plt.show()

Going further

This post explains how to customize the appearance of the markers in a scatter plot with seaborn.

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