erap129 · November 24, 2022 07:08
diff --git a/html_reporter.py b/html_reporter.py
 import pandas as pd
 import matplotlib.pyplot as plt
 import numpy as np
 import io
 import base64
 import plotly.express as px


 def generate_html_report(report_items):
    html_string = '''
    <html>
        <head>
            <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.1/css/bootstrap.min.css">
            <style>body{ margin:0 100; background:whitesmoke; }</style>
        </head>
        <body>
    ''' + '\n'.join(report_items) + '''        
        </body>
    </html>'''
    with open('report.html', 'w') as f:
        f.write(html_string)
    return 'report.html'


 def get_matplotlib_plot():
    t = np.arange(0.0, 2.0, 0.01)
    s = 1 + np.sin(2 * np.pi * t)
    fig, ax = plt.subplots()
    ax.plot(t, s)
    ax.set(xlabel='time (s)', ylabel='voltage (mV)',
           title='About as simple as it gets, folks')
    ax.grid()
    buf = io.BytesIO()
    fig.savefig(buf, format='png')
    plt.close()
    return "data:image/png;base64,{}".format(base64.b64encode(buf.getvalue()).decode('utf8'))


 if __name__ == '__main__':
    generate_html_report([
        '<h1>This is an example HTML report</h1>',
        '<hr/>'
        '<h3>This is a table</h3>',
        pd.DataFrame({'Food': ['pizza', 'pasta', 'ravioli'],
                      'How much I like it': [5, 4, 3],
                      'How much people in Italy like it': [3, 4, 5]}).to_html(index=False, classes=['table']),
        '<hr/>',
        '<h3>This is a matplotlib plot</h3>',
        f'<img src={get_matplotlib_plot()}>'
        '<hr/>',
        '<h3>This is a plotly plot</h3>',
        px.scatter(px.data.iris(), x="sepal_width", y="sepal_length", color="species").to_html(),
        '<hr/>',
        '<h3>This is some text</h3>',
        '<pre>Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et\n'
        'dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex\n'
        ' ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat\n'
        ' nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia\n'
        ' deserunt mollit anim id est laborum.</pre>'
    ])
	import pandas as pd
	import matplotlib.pyplot as plt
	import numpy as np
	import io
	import base64
	import plotly.express as px


	def generate_html_report(report_items):
	html_string = '''
	<html>
	<head>
	<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.1/css/bootstrap.min.css">
	<style>body{ margin:0 100; background:whitesmoke; }</style>
	</head>
	<body>
	''' + '\n'.join(report_items) + '''
	</body>
	</html>'''
	with open('report.html', 'w') as f:
	f.write(html_string)
	return 'report.html'


	def get_matplotlib_plot():
	t = np.arange(0.0, 2.0, 0.01)
	s = 1 + np.sin(2 * np.pi * t)
	fig, ax = plt.subplots()
	ax.plot(t, s)
	ax.set(xlabel='time (s)', ylabel='voltage (mV)',
	title='About as simple as it gets, folks')
	ax.grid()
	buf = io.BytesIO()
	fig.savefig(buf, format='png')
	plt.close()
	return "data:image/png;base64,{}".format(base64.b64encode(buf.getvalue()).decode('utf8'))


	if __name__ == '__main__':
	generate_html_report([
	'<h1>This is an example HTML report</h1>',
	'<hr/>'
	'<h3>This is a table</h3>',
	pd.DataFrame({'Food': ['pizza', 'pasta', 'ravioli'],
	'How much I like it': [5, 4, 3],
	'How much people in Italy like it': [3, 4, 5]}).to_html(index=False, classes=['table']),
	'<hr/>',
	'<h3>This is a matplotlib plot</h3>',
	f'<img src={get_matplotlib_plot()}>'
	'<hr/>',
	'<h3>This is a plotly plot</h3>',
	px.scatter(px.data.iris(), x="sepal_width", y="sepal_length", color="species").to_html(),
	'<hr/>',
	'<h3>This is some text</h3>',
	'<pre>Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et\n'
	'dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex\n'
	' ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat\n'
	' nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia\n'
	' deserunt mollit anim id est laborum.</pre>'
	])