Pandas in Python has the ability to convert Pandas DataFrame to a table in the HTML web page. pandas.DataFrame.to_html() method is used for render a Pandas DataFrame.
Syntax : DataFrame.to_html()
Return : Return the html format of a dataframe.
Let’s understand with examples:
First, create a Dataframe:
Python3
# importing pandas as pdimport pandas as pdfrom IPython.display import HTML # creating the dataframedf = pd.DataFrame({"Name": ['Anurag', 'Manjeet', 'Shubham', 'Saurabh', 'Ujjawal'], "Address": ['Patna', 'Delhi', 'Coimbatore', 'Greater noida', 'Patna'], "ID": [20123, 20124, 20145, 20146, 20147], "Sell": [140000, 300000, 600000, 200000, 600000]}) print("Original DataFrame :")display(df) |
Output:
Convert Dataframe to Html table:
Python3
result = df.to_html()print(result) |
Output:
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Name</th>
<th>Address</th>
<th>ID</th>
<th>Sell</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>Anurag</td>
<td>Patna</td>
<td>20123</td>
<td>140000</td>
</tr>
<tr>
<th>1</th>
<td>Manjeet</td>
<td>Delhi</td>
<td>20124</td>
<td>300000</td>
</tr>
<tr>
<th>2</th>
<td>Shubham</td>
<td>Coimbatore</td>
<td>20145</td>
<td>600000</td>
</tr>
<tr>
<th>3</th>
<td>Saurabh</td>
<td>Greater noida</td>
<td>20146</td>
<td>200000</td>
</tr>
<tr>
<th>4</th>
<td>Ujjawal</td>
<td>Patna</td>
<td>20147</td>
<td>600000</td>
</tr>
</tbody>
</table>
Let write the script for convert DataFrame into HTML file:
Python3
html = df.to_html() # write html to filetext_file = open("index.html", "w")text_file.write(html)text_file.close() |
Note: The HTML file will be created with HTML data in the current working directory.
Output:
Let’s display HTML data in the form of a table-stripped
Python3
HTML(df.to_html(classes='table table-stripped')) |
Output:
