Description:
This code adds the current export date as a footer on the plot using matplotlib, helping track when the plot was generated or exported.
Code Explanation:
We first import matplotlib and Python’s datetime module.
We create sample data and plot it with plt.plot().
We get the current date using datetime.now() and format it nicely.
The date is then added as a footer using plt.figtext() at the bottom of the figure.
Finally, we display or save the plot, now with a timestamp at the bottom.
This helps keep a record of the plot creation/export date for documentation or reports.
Program:
import matplotlib.pyplot as plt
import numpy as np
from datetime import datetime
# Sample data
x = np.linspace(0, 10, 100)
y = np.sin(x)
# Create the plot
plt.figure(figsize=(8, 4))
plt.plot(x, y, label='Sine Wave', color='purple')
plt.title('Plot with Export Date')
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
plt.legend()
plt.grid(True)
# Add current date as a footer
export_date = datetime.now().strftime("Exported on: %Y-%m-%d %H:%M:%S")
plt.figtext(0.5, 0.01, export_date, ha='center', fontsize=8, color='gray')
# Show the plot
plt.show()
# Optional: Save with date footer
# plt.savefig("plot_with_date_footer.png", dpi=300, bbox_inches='tight')
Output:

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