In Python data visualization, how do I write integration tests?

Python, Data Visualization, Integration Tests, Testing, Code Quality
This content provides insights into writing integration tests for data visualization in Python, focusing on ensuring that various components work together seamlessly.

        import unittest
        import matplotlib.pyplot as plt

        class TestDataVisualization(unittest.TestCase):
            def test_plot_creation(self):
                # Create sample data
                data = [1, 2, 3, 4, 5]
                
                # Create a plot
                plt.figure()
                plt.plot(data)
                
                # Check if the plot was created
                self.assertIsNotNone(plt.gcf())
            
            def test_plot_title(self):
                # Create sample data
                data = [1, 2, 3, 4, 5]
                
                # Create a plot and set a title
                plt.figure()
                plt.plot(data)
                plt.title("Sample Plot")
                
                # Check if the title is set correctly
                self.assertEqual(plt.gca().get_title(), "Sample Plot")
        
        if __name__ == "__main__":
            unittest.main()
    

Python Data Visualization Integration Tests Testing Code Quality