You can easily read JSON files into a Dask Bag using the dask.bag.read_text() method, which reads a collection of text files and returns a bag of their contents. Here's an example of how you can read the "items.json" file into a Dask Bag:
import dask.bag as dbitems_bag = db.read_text('items.json').map(json.loads) |
In this example, the read_text() method reads the contents of the "items.json" file into a Dask Bag of strings, and the map() method is used to parse each string into a Python dictionary using the json.loads() method.
You can then manipulate the resulting items_bag in the same way as any other Dask Bag. For example, you can filter the items to include only those with a price greater than 0.70:
expensive_items = items_bag.filter(lambda item: item['price'] > 0.70) |
This would return a new Dask Bag containing only the "Grapefruit" item, as it is the only one with a price greater than 0.70.
You can also write the contents of a Dask Bag to a JSON file using the dask.bag.to_text_files() method:
expensive_items.to_text_files('expensive_items/*.json') |
This code would write the contents of the expensive_items Dask Bag to a collection of JSON files in the "expensive_items" directory, with each file containing one item in JSON format.