With insert(), just indicate the position in the row you want the data point to occupy as the first argument.Today, we’re going to talk about a code snippet that can turn CSV data into JSON format using Angular. To add additional data to the fixture history, you can add insert statements before writing the rows: import csv Just run python fix_hist.py in your command prompt (or terminal for mac): import csvį = csv.writer(open("fix_hists.csv","wb+")) If you copy the following code into a file and save it as fix_hist.py or something, then save your JSON file as file.json in the same directory, it will create a csv file with the fixture histories each saved as a row. Python has some good libraries for doing this. And for each element in that array, we print the player ID, their web_name and then the data from fixture_history. Then we loop through each of them - extracting the the fixture_history array. So we extract the keys from this hash - which is the ID number right at the beginning of each entry. This data structure is a nested hash (perl's term for the type of data structure).
This is particularly useful for those looking to create multilevel. What makes JSONify It stand out from other CSV to JSON converters available online is its ability to generate nested JSON. Hopefully you can see what's going on here - you load the file $input, and decode_json to create a data structure. JSONify It is a CSV to JSON converter designed to help you easily convert tabular data from spreadsheets, CSV files or any delimited file into JSON.
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