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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