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Generate HTML reports from data

To generate HTML reports from data, you can use Python along with libraries like pandas for data manipulation and basic HTML/CSS for structuring the report. Here’s a simple yet flexible example:

Sample Code to Generate HTML Reports from Data

python
import pandas as pd # Sample data (you can replace this with any DataFrame) data = { 'Name': ['Alice', 'Bob', 'Charlie'], 'Department': ['HR', 'Engineering', 'Marketing'], 'Salary': [50000, 70000, 60000] } df = pd.DataFrame(data) # Generate basic HTML with styling html_content = f""" <html> <head> <title>Employee Report</title> <style> body {{ font-family: Arial, sans-serif; margin: 40px; }} h1 {{ color: #333; }} table {{ border-collapse: collapse; width: 100%; margin-top: 20px; }} th, td {{ border: 1px solid #ccc; padding: 8px; text-align: left; }} th {{ background-color: #f2f2f2; }} tr:nth-child(even) {{ background-color: #f9f9f9; }} </style> </head> <body> <h1>Employee Salary Report</h1> {df.to_html(index=False, border=0)} </body> </html> """ # Save the report to an HTML file with open("employee_report.html", "w") as file: file.write(html_content) print("HTML report generated successfully.")

Explanation:

  • pandas.DataFrame.to_html() generates an HTML table from the DataFrame.

  • Inline CSS is used for styling the HTML for readability.

  • The final output is saved as employee_report.html.

Optional Enhancements:

  • Use jinja2 for template-based HTML generation.

  • Add charts using libraries like plotly, matplotlib, or embed JavaScript libraries like Chart.js.

  • Automate email sending with the report using smtplib.

Let me know if you want an advanced version with charts or interactivity.

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