Convert CSV to HTML Table in Python
CSV file is a Comma Separated Value file that uses a comma to separate values. It is basically used for exchanging data between different applications. In this, individual rows are separated by a newline. Fields of data in each row are delimited with a comma.
Example :
Name, Salary, Age, No.of years employed
Akriti, 90000, 20, 1
Shreya, 100000, 21, 2
Priyanka, 25000, 45, 7
Neha, 46000, 25, 4
Note: For more information, refer to Working with csv files in Python
Converting CSV to HTML Table in Python
Method 1 Using pandas: One of the easiest way to convert CSV file to HTML table is using pandas. Type the below code in the command prompt to install pandas.
pip install pandas
Example: Suppose the CSV file looks like this –
Python3
import pandas as pd
a = pd.read_csv( "read_file.csv" )
a.to_html( "Table.htm" )
html_file = a.to_html()
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Output:
Method 2 Using PrettyTable: PrettyTable is a simple Python library designed to make it quick and easy to represent tabular data in visually appealing ASCII tables. Type the below command to install this module.
pip install PrettyTable
Example: The above CSV file is used.
Python3
from prettytable import PrettyTable
a = open ( "read_file.csv" , 'r' )
a = a.readlines()
l1 = a[ 0 ]
l1 = l1.split( ',' )
t = PrettyTable([l1[ 0 ], l1[ 1 ]])
for i in range ( 1 , len (a)) :
t.add_row(a[i].split( ',' ))
code = t.get_html_string()
html_file = open ( 'Tablee.html' , 'w' )
html_file = html_file.write(code)
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Output :
Last Updated :
01 Jun, 2021
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