Once you run the code in Python (adjusted to your paths), you’ll get the CSV file at your specified location. Syntax: Dataframe.tocsv (parameters) Return: None Let’s see examples: Example 1: Python3 import pandas as pd dataframe1 pd.readcsv ('GeeksforGeeks.txt') dataframe1.tocsv GeeksforGeeks. Read_file.to_csv (r'C:\Users\Ron\Desktop\Test\New_Products.csv', index=None) Read_file = pd.read_csv (r'C:\Users\Ron\Desktop\Test\Product_List.txt') So this is the complete code to convert the text file to CSV for our example (note that you’ll need to modify the paths to reflect the location where the files are stored on your computer): import pandas as pd Alternatively, pandas can also be installed using the pip package manager on Windows, as shown below. To get started, we first need to install the pandas using Anaconda. Where the new file name to be created is New_Products and the file extension is csv Pandas offers a range of functions, among which is the ability to convert a text file to a CSV file. ![]() ![]() The path where the CSV will be saved is: C:\Users\Ron\Desktop\Test\New_Products.csv csv file using python Ask Question Asked 1 year, 8 months ago Modified 1 year, 8 months ago Viewed 147 times -2 enter image description here AR 0.9995 N2 0.000 HE 0.000 KR 0.000 H2 6.3998E-08 H 4.2639E-15 H2O 0.000 CO2 0.000 CO 0.000 CH4 6.6510E-08 CH3 8.0334E-10 CH2 6.Where the file name is Product_List and the file extension is txt.The path where the text file is stored is: C:\Users\Ron\Desktop\Test\Product_List.txt.Read_file.to_csv (r'Path where the CSV will be saved\File name.csv', index=None) Read_file = pd.read_csv (r'Path where the Text file is stored\File name.txt') C:\Users\Ron\Desktop\Test\New_Products.csv Step 4: Convert the text file to CSV using Pythonįinally, you may use the template below in order to facilitate the conversion of your text file to CSV: import pandas as pd
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