cursor_slides_internvl2 / csv_to_html.py
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import pandas as pd
from jinja2 import Template
# Read the CSV file
df = pd.read_csv('sample_data.csv')
# Calculate column totals (excluding the first column which contains row labels)
totals = df.iloc[:, 1:].sum()
# Create HTML template
html_template = """
<!DOCTYPE html>
<html>
<head>
<title>CSV Data Report</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 20px;
}
table {
border-collapse: collapse;
width: 100%;
margin-bottom: 20px;
}
th, td {
border: 1px solid #ddd;
padding: 8px;
text-align: right;
}
th {
background-color: #f2f2f2;
}
.total-row {
font-weight: bold;
background-color: #e6e6e6;
}
h1 {
color: #333;
}
</style>
</head>
<body>
<h1>CSV Data Report</h1>
<h2>Raw Data</h2>
{{ raw_data | safe }}
<h2>Column Totals</h2>
<table>
<tr>
{% for column in totals.index %}
<th>{{ column }}</th>
{% endfor %}
</tr>
<tr class="total-row">
{% for value in totals.values %}
<td>{{ "{:,.2f}".format(value) }}</td>
{% endfor %}
</tr>
</table>
</body>
</html>
"""
# Convert the raw data to HTML
raw_data_html = df.to_html(index=False, classes='table')
# Create the template and render it
template = Template(html_template)
html_output = template.render(raw_data=raw_data_html, totals=totals)
# Save the HTML output
with open('report.html', 'w') as f:
f.write(html_output)
print("Report has been generated as 'report.html'")