To create an annotated confusion matrix using a heatmap in Plotly, you will need to use the go.Heatmap trace type. Here is an example of how you can do this:
import plotly.express as pximport plotly.graph_objects as go# Define the confusion matrix and labelsconfusion_matrix = [[10, 2, 3], [4, 5, 6], [7, 8, 9]]labels = ['Class 1', 'Class 2', 'Class 3']# Create the heatmap traceheatmap = go.Heatmap(z=confusion_matrix, x=labels, y=labels, colorscale='Viridis')# Create the figure and add the heatmap tracefig = go.Figure(data=[heatmap])# Add annotations for each cell in the confusion matrixfor i in range(len(confusion_matrix)): for j in range(len(confusion_matrix[i])): fig.add_annotation( text=confusion_matrix[i][j], x=labels[j], y=labels[i], xref='x', yref='y' )# Show the figurefig.show()
This will create a heatmap of the confusion matrix, with each cell in the matrix annotated with its value. You can customize the appearance of the heatmap and the annotations by using the various options available in the go.Heatmap and fig.add_annotation functions.
