century gothic bold font family css code

# Never hard code credentials or store them in a repoĭef send_email(account, to, subject, start, body, end): Odd background color: light red / Even background color: whiteīold: yes / Background color: dark red / Font color: whiteĮxample of an integration with the O365 packageįirst, create a function to send an email: from O365 import Account Odd background color: light green / Even background color: whiteīold: yes / Background color: dark green / Font color: whiteīold: yes / Background color: white / Font color: dark red Odd background color: light yellow / Even background color: whiteīold: yes / Background color: dark yellow / Font color: whiteīold: yes / Background color: white / Font color: dark green Odd background color: light orange / Even background color: whiteīold: yes / Background color: dark orange / Font color: whiteīold: yes / Background color: white / Font color: dark yellow Odd background color: light grey / Even background color: whiteīold: yes / Background color: dark grey / Font color: whiteīold: yes / Background color: white / Font color: dark orange

Odd background color: light blue / Even background color: whiteīold: yes / Background color: dark blue / Font color: whiteīold: yes / Background color: white / Font color: dark grey List of colors available Nameīold: yes / Background color: white / Font color: dark blue Insert the result of this package to the body of the email and voila. Output is ready to be sent via any Python package used to send emails. Use any browser to open pretty_table.html to see how the table would appear in an html email. With open('pandas_table.html', 'w') as f: With open('pretty_table.html', 'w') as f: Html_table_blue_light = build_table(df, 'blue_light') Use pip to install the package: pip install pretty_html_tableĪ simple example to load an Excel file to a pandas DataFrame, convert it to html, and then save to an html file: from pretty_html_table import build_table This obviates the need to grok out how the CSS may interact with the sending/recieving email provider. The html formatting is set at the DataFrame row level, which allows nearly every email provider to parse it. The output of the package embeds nicely with other packages used to send html emails, such as email or O365.

The intended target audience is anyone who needs to send reports via email and would like to make their tables look more attractive.ġ2 different color themes are available. Pretty_html_table exists to convert a pandas DataFrame into a pretty html table for use in email. Pretty_html_table - Beautiful html tables made easy

Century gothic bold font family css code