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How to convert CSV columns to text in Python?

Last Updated : 13 Jan, 2021
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In this article, we are going to see how to convert CSV columns to text in Python, and we will also see how to convert all CSV column to text.

Approach:

  • Read .CSV file using pandas dataframe.
  • Convert particular column to list using list() constructor
  • Then sequentially convert each element of the list to a string and join them using a specific character or space.

For our program we are going to use the following CSV file:

Code:

Python3 
# importing library
import pandas as pd

# Then loading csv file
df = pd.read_csv('datasets/Fruit.csv')

# converting ;FRUIT_NAME' column into list
a = list(df['FRUIT_NAME'])

# converting list into string and then joining it with space
b = ' '.join(str(e) for e in a)

# printing result
print(b)

# converting 'PRICE' column into list
d = list(df['PRICE'])

# another way for joining used
e = '\n'.join(map(str, d))

# printing result
print(e)

Output:

Apple Banana JackFruit Orange Pineapple Guava Grapes Mango

100
70
30
120
90
50
80
200

How to convert all csv column to text ?

For this, we don't need to import any library.

Code:

Python3 
# reading csv file
text = open("datasets/Fruit.csv", "r")

# joining with space content of text
text = ' '.join([i for i in text])  

# replacing ',' by space
text = text.replace(",", " ")  

#displaying result
print(text)

Output:

FRUIT_NAME PRICE
Apple 100
Banana 70
JackFruit 30
Orange 120
Pineapple 90
Guava 50
Grapes 80
Mango 200

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How to convert CSV columns to text in Python?

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