But not every comma in a CSV file represents the boundary between two cells. For example, since each cell in a CSV file is separated by a comma, maybe you could just call split(',') on each line of text to get the comma-separated values as a list of strings. Since CSV files are just text files, you might be tempted to read them in as a string and then process that string using the techniques you learned in Chapter 9. The CSV format is exactly as advertised: it’s just a text file of comma-separated values. CSV files are widely supported by many types of programs, can be viewed in text editors (including Mu), and are a straightforward way to represent spreadsheet data. The advantage of CSV files is simplicity.
Can’t have images or charts embedded in them. Don’t have settings for font size or color. 
Don’t have types for their values-everything is a string. You can download example.csv from or enter the text into a text editor and save it as example.csv.ĬSV files are simple, lacking many of the features of an Excel spreadsheet. I will use this file for this chapter’s interactive shell examples. For example, the spreadsheet example.xlsx from would look like this in a CSV file: The csv ModuleĮach line in a CSV file represents a row in the spreadsheet, and commas separate the cells in the row. (JSON is short for JavaScript Object Notation.) You don’t need to know the JavaScript programming language to use JSON files, but the JSON format is useful to know because it’s used in many web applications. JSON (pronounced “JAY-sawn” or “Jason”-it doesn’t matter how because either way people will say you’re pronouncing it wrong) is a format that stores information as JavaScript source code in plaintext files. Python’s csv module makes it easy to parse CSV files. But Python also comes with the special csv and json modules, each providing functions to help you work with these file formats.ĬSV stands for “comma-separated values,” and CSV files are simplified spreadsheets stored as plaintext files. You can view them in a text editor, such as Mu. CSV and JSON files, on the other hand, are just plaintext files. These files were in a binary format, which required special Python modules to access their data. 
I then get the error: `sequence expected`įirst, your JSON has nested objects, so it normally cannot be directly converted to CSV.In Chapter 15, you learned how to extract text from PDF and Word documents. I am using Django and the error I received is: `file' object has no attribute 'writerow'`
I have a JSON file I want to convert to a CSV file.
0 kommentar(er)
