Decision matrix

decision matrix.py

import matplotlib.pyplot as plt

# Create the figure and axis
fig, ax = plt.subplots(figsize=(8, 8))

# Set up the grid for the decision matrix
ax.axhline(0.5, color='black', linewidth=1)  # horizontal midline
ax.axvline(0.5, color='black', linewidth=1)  # vertical midline

# Highlight the top-right quadrant
ax.add_patch(plt.Rectangle((0.5, 0.5), 0.5, 0.5, color='green', alpha=0.3))

# Add quadrant labels
ax.text(0.25, 0.75, "Hard to Do / High Impact", fontsize=10, ha='center')
ax.text(0.25, 0.25, "Hard to Do / Low Impact", fontsize=10, ha='center')
ax.text(0.75, 0.25, "Easy to Do / Low Impact", fontsize=10, ha='center')
ax.text(0.75, 0.75, "Easy to Do / High Impact", fontsize=10, ha='center')

# Set the ticks and labels
ax.set_xticks([0, 0.5, 1])
ax.set_yticks([0, 0.5, 1])
ax.set_xticklabels(["Low Impact", "", "High Impact"])
ax.set_yticklabels(["Hard to Do", "", "Easy to Do"])

# Remove grid and spines
ax.grid(False)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_visible(False)

# Adjust axis limits
ax.set_xlim(0, 1)
ax.set_ylim(0, 1)

# Display the plot
plt.title("Decision Matrix", fontsize=14, weight='bold')
plt.show()