Paste your CSV data, or click Upload CSV to upload a CSV file, or drag-and-drop a CSV file to the Data Source panel, the CSV converter will execute the conversion magic immediately. Don’t worry about the CSV delimiter, the converter will automatically determine the delimiter, it supports comma, tab, colon, semicolon, pipe, slash, octothorpe and more.
Edit your data online like Excel through Table Editor, and the changes will be converted into Pandas DataFrame in real-time.
Just copy the generated pandas data frame code in Table Generator, and paste it into your Python script for testing.
Note: Your data is secure. All conversions are done in your web browser, and we do not store any of your data.
CSV stands for Comma-Separated Values. CSV file format is a text file that has a specific format which allows data to be saved in a table structured format.
Pandas DataFrame is a data structure in Python that is part of the pandas library. It is designed for data manipulation and analysis, providing labeled axes (rows and columns).