import pandas as pd
import numpy as np
import plotly.figure_factory as ff

# Create random data
np.random.seed(42)
data = np.random.rand(100, 10)

# Create DataFrame
columns = ['Column' + str(i+1) for i in range(10)]
df = pd.DataFrame(data, columns=columns)

# Round values to 2 decimals
correlation_matrix = df.corr().round(2)  

# Create interactive correlation matrix with Plotly
figure = ff.create_annotated_heatmap(
    z=correlation_matrix.values,
    x=list(correlation_matrix.columns),
    y=list(correlation_matrix.index),
    colorscale='Viridis',
    showscale=True
)

# Set axis labels
figure.update_layout(
    title='Correlation Matrix',
    xaxis=dict(title='Columns'),
    yaxis=dict(title='Columns')
)

# Display the interactive correlation matrix
figure.show()