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I have a list in python, how to pass it to HTML table in Python.

list1 = [['Career', 'school', 5, 'A'], ['Career', 'higher', 4, 'A'], ['Career', 'college', 3, 'A'], ['Edu', 'Blr', 20, 'A']]

 html =  """\<html><head><style>table, th, td {border: 1px solid black;border-collapse: collapse;}th, td {padding: 5px;text-align: left;}</style></head><table style="width:30%"><tr><th>Category</th><th>Sub-Category</th><th>Sessions</th><th>Org_name</th></tr><tr># The list should print here </tr></table></body></html> """

The output should be in table like

Category|Sub-Category|Sessions|Org_name Career |School |5 |A Career |Higher |4 |A Career |College |3 |A Edu |Blr |20 |A

Please help me.


Here is a simple solution without any third-party libraries:

list1 = [['Career', 'school', 5, 'A'], ['Career', 'higher', 4, 'A'], ['Career', 'college', 3, 'A'], ['Edu', 'Blr', 20, 'A']]
headers = ['Category', 'Sub-Category', 'Sessions', 'Org_name']
style = """
 td, th {
      border: 1px solid black;
    }
"""
template = """
<html>
  <style>
    {}
  </style>
  <body> 
    <table>   
    {}
    </table>
  </body>
</html>
""".format(style, '\t<tr>'+'\n'.join('\t\t<th>{}</th>'.format(i) for i in headers)+'\n\t</tr>'+'\n'.join('\t<tr>'+'\n'.join('\t\t<td>{}</td>'.format(c) for c in i)+'\n\t</tr>' for i in list1[1:])) 
with open('test_file.html', 'w') as f:
  f.write(template)

When opening test_file.html in a browser, the result below is produced:

HTML.py, Each row is itself a list of cells. Each cell is a Python string or any object which may be rendered as a string using str(). So the easiest way to create a HTML table  #Since out first row is the header, data is stored on the second row onwards for j in range(1,len(tr_elements)): #T is our j'th row T=tr_elements[j] #If row is not of size 10, the //tr data is not from our table if len(T)!=10: break #i is the index of our column i=0 #Iterate through each element of the row for t in T.iterchildren(): data=t.text


do like this:

{% for lists in list1 %}
    <tr>
    {%for li in lists %}
    <td>{{li}}</td>
    {% endfor %}
    </tr>
{% endfor %}

Web Scraping HTML Tables with Python, Web Scraping HTML Tables with Python. Syed Sadat Nazrul Based on the HTML codes, the data are stored in after <tr>..</tr>. This is the import lxml.html as lh import #Append the data to the empty list of the i'th column HTML.py has been developed to easily generate HTML code for tables and lists in Python scripts. This is mostly convenient to generate reports in HTML or simple web applications in lightweight frameworks such as CherryPy. There are already quite a few similar solutions for Python, either HTML generators or templating engines (see links at the


If you're just looking for a string of HTML inside your Python program, easiest way I can think of is using Pandas and its to_html method:

import pandas as pd
df = pd.DataFrame(list1)
df.columns = ['Category', 'Sub-Category', 'Sessions', 'Org_name']
html = df.to_html(index=False)

dashtable · PyPI, A library for converting a HTML tables into ASCII tables, rowspan and colspan allowed! HTML to reStructured Table; HTML to MarkDown Table; List of Lists to reStructered Table python html2rst.py input.html output.rst --force_headers from dashtable import data2rst table = [ ['Row\nSpan', 'Header'], ['Cell', ''], ['​Column  (Python)- How to store text extracted from HTML table using BeautifulSoup in a structured python list


df=pd.DataFrame(list1,columns=["Category","Sub-Category","Sessions","Org_name"])

print(df.to_html()) #it will print html tags for the df

<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Category</th>
      <th>Sub-Category</th>
      <th>Sessions</th>
      <th>Org_name</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>Career</td>
      <td>school</td>
      <td>5</td>
      <td>A</td>
    </tr>
    <tr>
      <th>1</th>
      <td>Career</td>
      <td>higher</td>
      <td>4</td>
      <td>A</td>
    </tr>
    <tr>
      <th>2</th>
      <td>Career</td>
      <td>college</td>
      <td>3</td>
      <td>A</td>
    </tr>
    <tr>
      <th>3</th>
      <td>Edu</td>
      <td>Blr</td>
      <td>20</td>
      <td>A</td>
    </tr>
  </tbody>
</table>

Parsing HTML Tables in Python with BeautifulSoup and pandas , Parsing HTML Tables in Python with BeautifulSoup and pandas as pd from bs4 import BeautifulSoup html_string = ''' <table> <tr> <td> Hello! 'lxml') # Parse the HTML as a string table = soup.find_all('table')[0] # Grab the  If the HTML is not XML you can't do it with etree.But even then, you don't have to use an external library for parsing a HTML table. In python 3 you can reach your goal with HTMLParser from html.parser.


Constructing a table, from astropy.table import QTable, Table, Column >>> from astropy import units as u >>> import These might be Python lists or numpy arrays or a mix of the two. Row-oriented data can be used to create a table using the rows keyword argument. List of See https://docs.scipy.org/doc/numpy/reference/arrays.dtypes.​html. Parsing a Table in BeautifulSoup. To parse the table, we are going to use the Python library BeautifulSoup. It constructs a tree from the HTML and gives you an API to access different elements of the webpage. Let’s say we already have our table object returned from BeautifulSoup. To parse the table, we’d like to grab a row,


Web scraping made easy: import HTML tables or lists using Google , Learn how to import tables from websites using Google Sheets or Excel. as Alteryx or knowledge of a programming language such as Python or R, each table row is defined with the <tr> tag, and a table cell is defined with  Stack Overflow Public questions and answers; Teams Private questions and answers for your team; Enterprise Private self-hosted questions and answers for your enterprise; Talent Hire technical talent


Python scraping tables, find_next("td") . Good luck! Those questions contain some answers that might interest you: How to convert an HTML table to an array in python. Python Collections (Arrays) There are four collection data types in the Python programming language: List is a collection which is ordered and changeable. Allows duplicate members. Tuple is a collection which is ordered and unchangeable. Allows duplicate members.