Write a Python program to export a dataframe to an html file

Assume, we have already saved pandas.csv file and export the file to Html format

Solution

To solve this, we will follow the steps given below −

• Read the csv file using the read_csv method as follows −

df = pd.read_csv('pandas.csv')

• Create new file pandas.html in write mode using file object,

f = open('pandas.html','w')

• Declare result variable to convert dataframe to html file format,

result = df.to_html()

• Using the file object, write all the data from the result. Finally close the file object,

f.write(result)
f.close()

Example

Let’s see the below implementation to get a better understanding −

import pandas as pd
df = pd.read_csv('pandas.csv')
print(df)
f = open('pandas.html','w')
result = df.to_html()
f.write(result)
f.close()

Output

pandas.html
<table border="1" class="dataframe">
   <thead>
      <tr style="text-align: right;">
         <th></th>
         <th>Id</th>
         <th>Data</th>
      </tr>
   </thead>
   <tbody>
      <tr>
         <th>0</th>
         <td>1</td>
         <td>11</td>
      </tr>
      <tr>
         <th>1</th>
         <td>2</td>
         <td>22</td>
      </tr>
      <tr>
         <th>2</th>
         <td>3</td>
         <td>33</td>
      </tr>
      <tr>
         <th>3</th>
         <td>4</td>
         <td>44</td>
      </tr>
      <tr>
         <th>4</th>
         <td>5</td>
         <td>55</td>
      </tr>
   </tbody>
</table>

Vani Nalliappan

Updated on: 24-Feb-2021

1K+ Views

Kickstart Your Career

Get certified by completing the course

Get Started