results-table-graphics.py

import pandas as pd
import matplotlib.pyplot as plt

# Sample data
data = {
    'Segment': ['Consumer', 'Consumer', 'Consumer', 'Consumer',
                'Corporate', 'Corporate', 'Corporate', 'Corporate',
                'Home Office', 'Home Office', 'Home Office', 'Home Office'],
    'Ship Mode': ['First Class', 'Same Day', 'Second Class', 'Standard Class',
                  'First Class', 'Same Day', 'Second Class', 'Standard Class',
                  'First Class', 'Same Day', 'Second Class', 'Standard Class'],
    'Observed': [755, 312, 1003, 3031, 468, 114, 589, 1782, 278, 112, 310, 1046]
}
df = pd.DataFrame(data)

# Create a figure and axis with custom background color (outer background)
fig, ax = plt.subplots(figsize=(10, 6))
fig.patch.set_facecolor('#000000')  # Set the outer background color to black

# Turn off axis lines
ax.axis('off')

# Create the table
table = ax.table(
    cellText=df.values,  # Data for the table
    colLabels=df.columns,  # Column headers
    loc='center',
    cellLoc='center',  # Align text within cells
    colWidths=[0.2, 0.3, 0.2],  # Adjust column widths for better readability
    bbox=[0.1, 0.2, 0.8, 0.7]  # Position the table
)

# Set uniform grey color for all data rows
row_color = '#51414F'  # Light grey background for data rows

# Apply background colors to the table cells
for (i, j), cell in table.get_celld().items():
    if i == 0:  # Header row
        cell.set_facecolor('#581845')  # Black background for header
        cell.set_text_props(fontweight='bold', color='white')  # Bold white text for header
    else:  # Data rows
        cell.set_facecolor(row_color)  # Light grey background for data rows
        cell.set_text_props(color='white')  # White text for data cells

# Add a title to the table
#ax.set_title("Observed Frequencies by Customer Segment and Ship Mode", fontsize=16, fontweight='bold', color='white')

# Set figure's background color to black
ax.set_facecolor('#000000')  # Set inner plot background color to black to match outer

# Ensure proper layout
plt.tight_layout()
plt.show()