The json module will let you save strings, ints, floats, boolean, and None values, you'll need to write custom serialization and deserialization code to save objects, classes, and functions. The contents of a list/dictionary need to be serializable before you can save it as a json.2) readlines already returns a list you don't need to iterate over it to turn it into one. The data is stored in plain-text (ie it's uncompressed), which makes it a slow and space-inefficient option for large amounts of data. fileNameopen ('d:/foo.bar') lines i for i in fileName.readlines () Three things: 1) list (x) is a simpler and more concise way of turning an iterable into a list than item for item in x.Any nested or non-nested list/dictionary structure can be saved to a json file (as long as all the contents are serializable).Use the Search Bar in the upper right corner. json files are human-readable and easy to edit (plain text) Here's what you can do to find it: Check your URL for typos.json is a widely adopted and standardized data format, so non-python programs can easily read and understand the json files.# indent=2 is not needed but makes the file human-readable Let's take an example to understand this better. In this method, we use file handling in python to read the data of a list and then write it into a CSV file.
1 (They are also run if the file is executed as a script. They are executed only the first time the module name is encountered in an import statement. These statements are intended to initialize the module. To create a file, use Python with statement, which does not require closing the file since with statement does the job for us. More on Modules A module can contain executable statements as well as function definitions. Finally, it saves the DataFrame as a CSV file named ‘GFG.csv’ using the tocsv method. Method 1: Using CSV Module We can convert a list to CSV in python easily by importing an in-built CSV module in python. Python csv module provides the csv.writer () method that returns the write object, and then we can call the writerow () and writerows () functions to convert a list or list of lists to the csv file. Then, it creates a pandas DataFrame df from the dictionary. It creates a dictionary dict using these lists. It defines three lists: nme for names, deg for degrees, and scr for scores. While the accepted answer works, you should really be using python's json module (see end of post for comparison with pickle): import json Python List to CSV Using Pandas The code imports the pandas library as pd.
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