We were able to export the different names of the Pokémon in the CSV. Here is an example with the pokedex.json file :Ĭsvwriter.writerow(data.keys()) To read a JSON file we can use the read_json function. Indeed a lot of python API returns as a result of JSON and with pandas it is very easy to exploit this data directly. Pandas is a python library that allows to easily manipulate data to be analyzed.
Use the json module to read the JSON file.Use the pandas library and its read_json function.The first step is to load the json file into a python object. We will see at the end of this tutorial how to convert this type of file to csv and see how to do it in python. If your file is too big or your data is a bit more complex, you can try our online JSON to CSV converter, which can handle huge files and more use cases.This file represents the pokemons as well as the characteristics associated with each one of them, if you wish to recover the complete list of the Pokedex, you will find it at this address : Here’s the final code to convert JSON to CSV: import jsonĭf.to_csv('output.csv', index=False, encoding='utf-8') If you want to configure the output, check out the documentation page for the to_csv function here Pandas has a convenient function for this: df.to_csv('input.csv', index=False, encoding='utf-8')Īnd here is the resulting CSV file: id,name,address.city
Now that our data is normalized to a tabular format, let’s write our CSV file! In our case, if we print the resulting dataframe, it will look something like this: print(df) id name address.cityĪs you can see the address which was an object, was flattened out to a column. With open('input.json', encoding='utf-8') as file:īecause the JSON format can hold structured data like nested objects and arrays, we have to normalize this data so that it can be respresented in the CSV format.Ī quick way to do this is to use the pandas.normalize_json function, which will take JSON data and normalize it into a tabular format, you can read more about this function here.
Let’s load the JSON file using the json Python module: import json You can install pandas using pip running this command: $ pip install pandas You could technically use the standard json and csv modules from Python to read the JSON file and write a CSV file, but depending on how your JSON file is structured, it can get complicated, and pandas has some great functions to handle these cases, without mentioning it’s really fast, so that’s what we will use. Let’s say we have a JSON file that looks like this: [ In this tutorial we’ll be converting a JSON file to CSV using Python.
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