You can change the Seaborn theme with the following code. The given examples help you to understand how to change the Seaborn theme. I highly recommend you “Python Crash Course Book” to learn Python. In this article, You’ll see five themes that are available in Seaborn.
Example 1: Change Seaborn theme to “dark”
# Import the required libraries import numpy as np import seaborn as sns import matplotlib.pyplot as plt # Select Theme sns.set_style("dark") # Load the Dataset dataset = sns.load_dataset("iris") # Create Boxplot sns.boxplot(x="species", y="petal_length", data=dataset) # Display the plot plt.show()
Output:
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Example 2: Change Seaborn theme to “darkgrid”
# Import the required libraries import numpy as np import seaborn as sns import matplotlib.pyplot as plt # Select Theme sns.set_style("darkgrid") # Load the Dataset dataset = sns.load_dataset("iris") # Create Boxplot sns.boxplot(x="species", y="petal_length", data=dataset) # Display the plot plt.show()
Output:
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Example 3: White Seaborn theme
# Import the required libraries import numpy as np import seaborn as sns import matplotlib.pyplot as plt # Select Theme sns.set_style("white") # Load the Dataset dataset = sns.load_dataset("iris") # Create Boxplot sns.boxplot(x="species", y="petal_length", data=dataset) # Display the plot plt.show()
Output:

Example 4: Whitegrid Seaborn theme
# Import the required libraries import numpy as np import seaborn as sns import matplotlib.pyplot as plt # Select Theme sns.set_style("whitegrid") # Load the Dataset dataset = sns.load_dataset("iris") # Create Boxplot sns.boxplot(x="species", y="petal_length", data=dataset) # Display the plot plt.show()
Output:
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Example 5: Ticks Seaborn theme
# Import the required libraries import numpy as np import seaborn as sns import matplotlib.pyplot as plt # Select Theme sns.set_style("ticks") # Load the Dataset dataset = sns.load_dataset("iris") # Create Boxplot sns.boxplot(x="species", y="petal_length", data=dataset) # Display the plot plt.show()
Output:
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