for x in cars: print (x) for y in cars[x]: print (y,':',cars[x][y])
output:
A color : 2 speed : 70 B color : 3 speed : 60
ID : 20360
viewed : 9
Tags : pythonprintingdictionarypython
100
for x in cars: print (x) for y in cars[x]: print (y,':',cars[x][y])
output:
A color : 2 speed : 70 B color : 3 speed : 60
83
You could use the json
module for this. The dumps
function in this module converts a JSON object into a properly formatted string which you can then print.
import json cars = {'A':{'speed':70, 'color':2}, 'B':{'speed':60, 'color':3}} print(json.dumps(cars, indent = 4))
The output looks like
{ "A": { "color": 2, "speed": 70 }, "B": { "color": 3, "speed": 60 } }
The documentation also specifies a bunch of useful options for this method.
76
A more generalized solution that handles arbitrarily-deeply nested dicts and lists would be:
def dumpclean(obj): if isinstance(obj, dict): for k, v in obj.items(): if hasattr(v, '__iter__'): print k dumpclean(v) else: print '%s : %s' % (k, v) elif isinstance(obj, list): for v in obj: if hasattr(v, '__iter__'): dumpclean(v) else: print v else: print obj
This produces the output:
A color : 2 speed : 70 B color : 3 speed : 60
I ran into a similar need and developed a more robust function as an exercise for myself. I'm including it here in case it can be of value to another. In running nosetest, I also found it helpful to be able to specify the output stream in the call so that sys.stderr could be used instead.
import sys def dump(obj, nested_level=0, output=sys.stdout): spacing = ' ' if isinstance(obj, dict): print >> output, '%s{' % ((nested_level) * spacing) for k, v in obj.items(): if hasattr(v, '__iter__'): print >> output, '%s%s:' % ((nested_level + 1) * spacing, k) dump(v, nested_level + 1, output) else: print >> output, '%s%s: %s' % ((nested_level + 1) * spacing, k, v) print >> output, '%s}' % (nested_level * spacing) elif isinstance(obj, list): print >> output, '%s[' % ((nested_level) * spacing) for v in obj: if hasattr(v, '__iter__'): dump(v, nested_level + 1, output) else: print >> output, '%s%s' % ((nested_level + 1) * spacing, v) print >> output, '%s]' % ((nested_level) * spacing) else: print >> output, '%s%s' % (nested_level * spacing, obj)
Using this function, the OP's output looks like this:
{ A: { color: 2 speed: 70 } B: { color: 3 speed: 60 } }
which I personally found to be more useful and descriptive.
Given the slightly less-trivial example of:
{"test": [{1:3}], "test2":[(1,2),(3,4)],"test3": {(1,2):['abc', 'def', 'ghi'],(4,5):'def'}}
The OP's requested solution yields this:
test 1 : 3 test3 (1, 2) abc def ghi (4, 5) : def test2 (1, 2) (3, 4)
whereas the 'enhanced' version yields this:
{ test: [ { 1: 3 } ] test3: { (1, 2): [ abc def ghi ] (4, 5): def } test2: [ (1, 2) (3, 4) ] }
I hope this provides some value to the next person looking for this type of functionality.
60
pprint.pprint()
is a good tool for this job:
>>> import pprint >>> cars = {'A':{'speed':70, ... 'color':2}, ... 'B':{'speed':60, ... 'color':3}} >>> pprint.pprint(cars, width=1) {'A': {'color': 2, 'speed': 70}, 'B': {'color': 3, 'speed': 60}}
60
You have a nested structure, so you need to format the nested dictionary too:
for key, car in cars.items(): print(key) for attribute, value in car.items(): print('{} : {}'.format(attribute, value))
This prints:
A color : 2 speed : 70 B color : 3 speed : 60