How to remove the axis tick marks on a Seaborn heatmap?

To remove the axis tick marks on a Seaborn heatmap, you can use the tick_params() method to customize the appearance of ticks and tick labels. This is useful when you want a cleaner visualization without the small lines indicating tick positions.

Basic Heatmap with Tick Marks

First, let's create a basic heatmap to see the default tick marks −

import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

# Create sample data
data = np.random.rand(4, 4)

# Create heatmap
plt.figure(figsize=(6, 4))
ax = sns.heatmap(data, annot=True, cmap='viridis')
plt.title('Heatmap with Default Tick Marks')
plt.show()

Removing Tick Marks

Use tick_params() with left=False and bottom=False to remove the tick marks −

import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

# Create sample data
data = np.random.rand(4, 4)

# Create heatmap and remove tick marks
plt.figure(figsize=(6, 4))
ax = sns.heatmap(data, annot=True, cmap='viridis')
ax.tick_params(left=False, bottom=False)
plt.title('Heatmap without Tick Marks')
plt.show()

Alternative Method Using Seaborn Parameters

You can also remove tick marks directly in the heatmap() function −

import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

# Create sample data
data = np.random.rand(4, 4)

# Remove tick marks using heatmap parameters
plt.figure(figsize=(6, 4))
sns.heatmap(data, annot=True, cmap='viridis', 
           xticklabels=True, yticklabels=True)
plt.tick_params(left=False, bottom=False)
plt.title('Alternative Method')
plt.show()

Removing Both Tick Marks and Labels

To remove both tick marks and labels completely −

import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

# Create sample data
data = np.random.rand(4, 4)

# Remove both tick marks and labels
plt.figure(figsize=(6, 4))
ax = sns.heatmap(data, annot=True, cmap='viridis',
                xticklabels=False, yticklabels=False)
ax.tick_params(left=False, bottom=False)
plt.title('No Tick Marks or Labels')
plt.show()

Key Parameters

Conclusion

Use ax.tick_params(left=False, bottom=False) to remove tick marks while keeping labels. For a completely clean heatmap, combine this with xticklabels=False and yticklabels=False parameters.