This article is about a pretty useful built-in module in Python, pprint.
The pprint module provides a capability to “pretty-print” arbitrary Python data structures in a well-formatted and more readable way!
Let us consider an example:
# A python code without pprintimport requestsdef geocode(address): resp = requests.get(url, params = {'address': address}) return resp.json()# calling geocode functiondata = geocode('India gate')# printing json responseprint(data) |
The above code is for getting the geocode information of a place using Google Maps API in JSON format.
The output of above program looks like this:
{'status': 'OK', 'results': [{'address_components': [{'long_name': 'Rajpath', 'types': ['route'],
'short_name': 'Rajpath'}, {'long_name': 'India Gate', 'types': ['political', 'sublocality',
'sublocality_level_1'], 'short_name': 'India Gate'}, {'long_name': 'New Delhi', 'types':
['locality', 'political'], 'short_name': 'New Delhi'}, {'long_name': 'New Delhi',
'types': ['administrative_area_level_2', 'political'], 'short_name': 'New Delhi'}, {'long_name':
'Delhi', 'types': ['administrative_area_level_1', 'political'], 'short_name': 'DL'}, {'long_name':
'India', 'types': ['country', 'political'], 'short_name': 'IN'}, {'long_name': '110001', 'types':
['postal_code'], 'short_name': '110001'}], 'geometry': {'location': {'lng': 77.2295097, 'lat': 28.612912},
'viewport': {'northeast': {'lng': 77.2308586802915, 'lat': 28.6142609802915}, 'southwest': {'lng':
77.22816071970848, 'lat': 28.6115630197085}}, 'location_type': 'APPROXIMATE'}, 'types':
['establishment', 'point_of_interest'], 'formatted_address': 'Rajpath, India Gate, New Delhi, Delhi 110001,
India', 'place_id': 'ChIJC03rqdriDDkRXT6SJRGXFwc'}]}
As you can see, this output is not properly indented which affects readability for nested data structures.
Now, consider the code below:
# A python code with pprintimport requestsfrom pprint import pprintdef geocode(address): resp = requests.get(url, params = {'address': address}) return resp.json()# calling geocode functiondata = geocode('India gate')# pretty-printing json responsepprint(data) |
The output of above code looks like this:
{'results': [{'address_components': [{'long_name': 'Rajpath',
'short_name': 'Rajpath',
'types': ['route']},
{'long_name': 'India Gate',
'short_name': 'India Gate',
'types': ['political',
'sublocality',
'sublocality_level_1']},
{'long_name': 'New Delhi',
'short_name': 'New Delhi',
'types': ['locality', 'political']},
{'long_name': 'New Delhi',
'short_name': 'New Delhi',
'types': ['administrative_area_level_2',
'political']},
{'long_name': 'Delhi',
'short_name': 'DL',
'types': ['administrative_area_level_1',
'political']},
{'long_name': 'India',
'short_name': 'IN',
'types': ['country', 'political']},
{'long_name': '110001',
'short_name': '110001',
'types': ['postal_code']}],
'formatted_address': 'Rajpath, India Gate, New Delhi, Delhi '
'110001, India',
'geometry': {'location': {'lat': 28.612912, 'lng': 77.2295097},
'location_type': 'APPROXIMATE',
'viewport': {'northeast': {'lat': 28.6142609802915,
'lng': 77.2308586802915},
'southwest': {'lat': 28.6115630197085,
'lng': 77.22816071970848}}},
'place_id': 'ChIJC03rqdriDDkRXT6SJRGXFwc',
'types': ['establishment', 'point_of_interest']}],
'status': 'OK'}
As you can see, the output is now well formatted and much more readable.
All we did was to import the pprint function of pprint module. And use pprint() function rather than the print function!
This blog is contributed by Nikhil Kumar. If you like Lazyroar and would like to contribute, you can also write an article using write.geeksforgeeks.org or mail your article to review-team@geeksforgeeks.org. See your article appearing on the Lazyroar main page and help other Geeks.
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