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How to Adjust Number of Ticks in Seaborn Plots?

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In this article, we will discuss how to adjust the number of ticks in Seaborn Plots. Ticks are the values that are used to show some specific points on the X-Y coordinate, It can be a string or a number. We will see how we can choose an optimal or expand the number of ticks to display on both the x-axis and y-axis.

The Axes.set_xticks() and Axes.set_yticks() functions in axes module of matplotlib library are used to Set the ticks with a list of ticks on X-axis and Y-axis respectively.

Syntax:

For  xticks:

 Axes.set_xticks(self, ticks, minor=False)

For  yticks:

Axes.set_yticks(self, ticks, minor=False)

Parameters:

  • ticks: This parameter is the list of x-axis/y-axis tick locations.
  • minor: This parameter is used whether set major ticks or to set minor ticks

Return value: 

This method does not returns any value.

Example 1: Adjust Number X – Ticks using set_xticks()

In this example, we are setting a number of xticks to the length of data present in dataframe.

Python3




import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
  
sns.set(style="darkgrid")
  
# create DataFrame
df = pd.DataFrame({'a': np.random.rand(8), 'b': np.random.rand(8)})
  
# create lineplot
g = sns.lineplot(data=df)
  
# set the ticks first
g.set_xticks(range(8))
  
# set the labels
g.set_xticklabels(['2011', '2012', '2013', '2014',
                   '2015', '2016', '2017', '2018'])


Output:

Example 2:  Adjust Number Y – Ticks using set_yticks()

In this example, we are setting a number of yticks to the length of data present in dataframe.

Python3




import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
  
sns.set(style="darkgrid")
  
# create DataFrame
df = pd.DataFrame({'a': np.random.rand(8), 'b': np.random.rand(8)})
  
# create lineplot
g = sns.lineplot(data=df)
  
#  set the ticks first
g.set_yticks(range(len(df)-5))
  
# set the labels
g.set_xticklabels(['2011', '2012', '2013', '2014',
                   '2015', '2016', '2017', '2018'])


Output:

Example 3:  Adjust Number of X and Y Ticks using xticks() and yticks()

In this example, we are setting the number of specific positions of ticks on x-axis and y-axis

Python3




import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
  
# create DataFrame
df = pd.DataFrame({'var1': [25, 12, 15, 14, 19, 23, 25, 29],
                   'var2': [5, 7, 7, 9, 12, 9, 9, 4]})
  
# create scatterplot
sns.scatterplot(data=df, x='var1', y='var2')
  
# specify positions of ticks on x-axis and y-axis
plt.xticks([15, 20, 25], ['A', 'B', 'C'])
plt.yticks([4, 8, 12], ['Low', 'Medium', 'High'])


Output:



Last Updated : 19 Dec, 2021
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