Beautiful prints for nested data (iterables) in python.
Install it using pip install beautiful-prints
You can either use beautifulPrint
to directly write the formatted string to the current system output (console) or
generateBeautifulString
to get the formatted string and mess around with it:
from beautiful_prints import generateBeautifulString
beautifullyFormatedString = generateBeautifulString(yourNestedData)
Output it directly:
from beautiful_prints import beautifulPrint
beautifulPrint(yourNestedData)
Both functions have the optional parameters maxItemsPerLine and indent. The former to set the maximum items per
line (default = 5) and the latter to set the indent (default = 4).
The concept is to print nested data in a json like format, but different ;D
nestedData = {"key1": [1, 2, 3, 4], "key2": [1, 2, 3, 4]}
beautiful output using beautifulPrint:
{
"key1": [1, 2, 3, 4],
"key2": [1, 2, 3, 4]
}
Now this isn't quite json like, right? Json formatted using json.dumps,
it would look like this:
{
"key1": [
1,
2,
3,
4
],
"key2": [
1,
2,
3,
4
]
}
Yes. This is because the items from the nested data are only printed into the next line if either of their sub data is equally a nested data type or the length of it exceeds the maximum items count per line.
- lists
- tuples
- dicts
- sets
- frozensets
Note: There won't be raised an error if the used data type is not listed. It'll work, but it will probably be ugly.
Additionally, any not iterable sub data type such as
numpy.int64 is supported.
An example using a Dict containing strings as keys and lists out of tuples, sets and frozensets as values
exampleDict = {
"key1": [
[
("key_1_list1_tuple1_1", "key_1_list1_tuple1_2"),
{"key_1_list1_tuple2_1", "key_1_list1_tuple2_2"}, # Here we have a set ;)
frozenset({"key_1_list1_tuple3_1", "key_1_list1_tuple3_2"}), # And here a frozenset ;)
("key_1_list1_tuple4_1", "key_1_list1_tuple4_2"),
("key_1_list1_tuple5_1", "key_1_list1_tuple5_2")
],
[
("key_1_list2_tuple1_1", "key_1_list2_tuple1_2"),
("key_1_list2_tuple2_1", "key_1_list2_tuple2_2"),
("key_1_list2_tuple3_1", "key_1_list2_tuple3_2"),
("key_1_list2_tuple4_1", "key_1_list2_tuple4_2"),
("key_1_list2_tuple5_1", "key_1_list2_tuple5_2")
]
],
"key2": [
(
"key_2_list1_tuple1_1",
"key_2_list1_tuple1_2",
"key_2_list1_tuple1_3",
"key_2_list1_tuple1_4",
"key_2_list1_tuple1_5",
"key_2_list1_tuple1_6"
),
("key_2_list1_tuple2_1", "key_2_list1_tuple2_2"),
("key_2_list1_tuple3_1", "key_2_list1_tuple3_2"),
("key_2_list1_tuple4_1", "key_2_list1_tuple4_2"),
("key_2_list1_tuple5_1", "key_2_list1_tuple5_2")
]
}
Output without formatting:
{'key1': [[('key_1_list1_tuple1_1', 'key_1_list1_tuple1_2'), {'key_1_list1_tuple2_2', 'key_1_list1_tuple2_1'}, frozenset({'key_1_list1_tuple3_1', 'key_1_list1_tuple3_2'}), ('key_1_list1_tuple4_1', 'key_1_list1_tuple4_2'), ('key_1_list1_tuple5_1', 'key_1_list1_tuple5_2')], [('key_1_list2_tuple1_1', 'key_1_list2_tuple1_2'), ('key_1_list2_tuple2_1', 'key_1_list2_tuple2_2'), ('key_1_list2_tuple3_1', 'key_1_list2_tuple3_2'), ('key_1_list2_tuple4_1', 'key_1_list2_tuple4_2'), ('key_1_list2_tuple5_1', 'key_1_list2_tuple5_2')]], 'key2': [('key_2_list1_tuple1_1', 'key_2_list1_tuple1_2', 'key_2_list1_tuple1_3', 'key_2_list1_tuple1_4', 'key_2_list1_tuple1_5', 'key_2_list1_tuple1_6'), ('key_2_list1_tuple2_1', 'key_2_list1_tuple2_2'), ('key_2_list1_tuple3_1', 'key_2_list1_tuple3_2'), ('key_2_list1_tuple4_1', 'key_2_list1_tuple4_2'), ('key_2_list1_tuple5_1', 'key_2_list1_tuple5_2')]}
Output using beautifulPrint:
{
"key1": [
[
('key_1_list1_tuple1_1', 'key_1_list1_tuple1_2'),
{'key_1_list1_tuple2_2', 'key_1_list1_tuple2_1'},
frozenset({'key_1_list1_tuple3_1', 'key_1_list1_tuple3_2'}),
('key_1_list1_tuple4_1', 'key_1_list1_tuple4_2'),
('key_1_list1_tuple5_1', 'key_1_list1_tuple5_2')
],
[
('key_1_list2_tuple1_1', 'key_1_list2_tuple1_2'),
('key_1_list2_tuple2_1', 'key_1_list2_tuple2_2'),
('key_1_list2_tuple3_1', 'key_1_list2_tuple3_2'),
('key_1_list2_tuple4_1', 'key_1_list2_tuple4_2'),
('key_1_list2_tuple5_1', 'key_1_list2_tuple5_2')
]
],
"key2": [
(
"key_2_list1_tuple1_1",
"key_2_list1_tuple1_2",
"key_2_list1_tuple1_3",
"key_2_list1_tuple1_4",
"key_2_list1_tuple1_5",
"key_2_list1_tuple1_6"
),
('key_2_list1_tuple2_1', 'key_2_list1_tuple2_2'),
('key_2_list1_tuple3_1', 'key_2_list1_tuple3_2'),
('key_2_list1_tuple4_1', 'key_2_list1_tuple4_2'),
('key_2_list1_tuple5_1', 'key_2_list1_tuple5_2')
]
}
Now, what about pprint?
Well, see for your self:
{'key1': [[('key_1_list1_tuple1_1', 'key_1_list1_tuple1_2'),
{'key_1_list1_tuple2_2', 'key_1_list1_tuple2_1'},
frozenset({'key_1_list1_tuple3_1', 'key_1_list1_tuple3_2'}),
('key_1_list1_tuple4_1', 'key_1_list1_tuple4_2'),
('key_1_list1_tuple5_1', 'key_1_list1_tuple5_2')],
[('key_1_list2_tuple1_1', 'key_1_list2_tuple1_2'),
('key_1_list2_tuple2_1', 'key_1_list2_tuple2_2'),
('key_1_list2_tuple3_1', 'key_1_list2_tuple3_2'),
('key_1_list2_tuple4_1', 'key_1_list2_tuple4_2'),
('key_1_list2_tuple5_1', 'key_1_list2_tuple5_2')]],
'key2': [('key_2_list1_tuple1_1',
'key_2_list1_tuple1_2',
'key_2_list1_tuple1_3',
'key_2_list1_tuple1_4',
'key_2_list1_tuple1_5',
'key_2_list1_tuple1_6'),
('key_2_list1_tuple2_1', 'key_2_list1_tuple2_2'),
('key_2_list1_tuple3_1', 'key_2_list1_tuple3_2'),
('key_2_list1_tuple4_1', 'key_2_list1_tuple4_2'),
('key_2_list1_tuple5_1', 'key_2_list1_tuple5_2')]}
Above is the output when using pprint from the pprint module
without changing any default values and passing parameters. beautifulPrint
simply works by default and is easy...
And what about json.dumps?
Well if you don't need tuples or sets or frozensets or any 'special' data type such as
numpy.int64 you can use it, though have a
look under [A quick example](#A quick example:) and decide for yourself what you find more beautiful.
¯_(ツ)_/¯
'json.dumps' won't work with this example :(