# Control Axis Limits of Plot

This post provides a reproducible code to plot a basic scatterplot with seaborn. The example shows how to control x and y axis limits of the plot using matplotlib functions plt.xlim() and plt.ylim().

## 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)
``````# library & dataset
import seaborn as sns
import matplotlib.pyplot as plt
df = sns.load_dataset('iris')

# basic scatterplot
sns.lmplot( x="sepal_length", y="sepal_width", data=df, fit_reg=False)

# control x and y limits
plt.ylim(0, 20)
plt.xlim(0, None)

plt.show()``````

Scatterplot

Heatmap

Correlogram

Bubble

Connected Scatter

2D Density

## Contact & Edit

👋 This document is a work by Yan Holtz. Any feedback is highly encouraged. You can fill an issue on Github, drop me a message onTwitter, or send an email pasting `yan.holtz.data` with `gmail.com`.

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Violin

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