prettyformatter 1.2.1

Pretty formatter enables pretty formatting using hanging indents, dataclasses, ellipses, and simple customizability by registering formatters.

prettyformatter

Pretty formatter enables pretty formatting using hanging indents, dataclasses, ellipses, and simple customizability by registering formatters.

Installation

Windows:

py -m pip install prettyformatter

Unix/MacOS:

python3 -m pip install prettyformatter

Imports

from prettyformatter import PrettyClass, PrettyDataclass, pprint, pformat, register

Basic Usage

Long containers are truncated.

pprint(list(range(1000)))
"""
[0, 1, 2, 3, 4, ..., 997, 998, 999]
"""

Large nested structures are split into multiple lines, while things which (reasonably) fit on a line will remain on one line.

Notice that trailing commas are used.

Notice that multi-line dictionaries have key-value pairs indented at different levels.

pprint([{i: {"ABC": [list(range(30))]} for i in range(5)}])
"""
[
    {
        0:
            {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
        1:
            {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
        2:
            {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
        3:
            {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
        4:
            {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
    },
]
"""

The current depth and indentation size can be modified. Shortening the data is also toggleable. See help(prettyformatter.pprint) for more information.

pprint([{i: {"ABC": [list(range(30))]} for i in range(5)}], indent=2)
"""
[
  {
    0:
      {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
    1:
      {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
    2:
      {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
    3:
      {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
    4:
      {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
  },
]
"""

The pretty string can be used elsewhere.

s = pformat([{i: {"ABC": [list(range(30))]} for i in range(5)}])

print(s)
"""
[
    {
        0:
            {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
        1:
            {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
        2:
            {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
        3:
            {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
        4:
            {'ABC': [[0, 1, 2, 3, 4, ..., 27, 28, 29]]},
    },
]
"""

Dataclasses are supported by subclassing the PrettyDataclass.

from dataclasses import dataclass
from typing import List

big_data = list(range(1000))

Dataclass fields are pretty formatted.

@dataclass
class Data(PrettyDataclass):
    data: List[int]


print(Data(big_data))
"""
Data(data=[0, 1, 2, 3, 4, ..., 997, 998, 999])
"""

Long dataclasses are split into multiple lines.

@dataclass
class MultiData(PrettyDataclass):
    x: List[int]
    y: List[int]
    z: List[int]


print(MultiData(big_data, big_data, big_data))
"""
MultiData(
    x=[0, 1, 2, 3, 4, ..., 997, 998, 999],
    y=[0, 1, 2, 3, 4, ..., 997, 998, 999],
    z=[0, 1, 2, 3, 4, ..., 997, 998, 999],
)
"""

Nested data is indented deeper.

@dataclass
class NestedData(PrettyDataclass):
    data: List[List[int]]


print(NestedData([big_data] * 1000))
"""
NestedData(
    data=[
            [0, 1, 2, 3, 4, ..., 997, 998, 999],
            [0, 1, 2, 3, 4, ..., 997, 998, 999],
            [0, 1, 2, 3, 4, ..., 997, 998, 999],
            [0, 1, 2, 3, 4, ..., 997, 998, 999],
            [0, 1, 2, 3, 4, ..., 997, 998, 999],
            ...,
            [0, 1, 2, 3, 4, ..., 997, 998, 999],
            [0, 1, 2, 3, 4, ..., 997, 998, 999],
            [0, 1, 2, 3, 4, ..., 997, 998, 999],
        ],
)
"""

If there are more than 3 fields and the dataclass is long, then fields and their values are split, similar to a dict.

@dataclass
class Person(PrettyDataclass):
    name: str
    birthday: str
    phone_number: str
    address: str


print(Person("Jane Doe", "2001-01-01 08:23:00", "012-345-6789", "123 Sample St. City Country ZIP_CODE"))
"""
Person(
    name=
        'Jane Doe',
    birthday=
        '2001-01-01 08:23:00',
    phone_number=
        '012-345-6789',
    address=
        '123 Sample St. City Country ZIP_CODE',
)
"""

Named tuples work like dataclasses, but requires pprint instead of print.

from typing import NamedTuple

big_data = list(range(1000))


class Data(NamedTuple):
    data: List[int]


pprint(Data(big_data))
"""
Data(data=[0, 1, 2, 3, 4, ..., 997, 998, 999])
"""

Custom formatters for your classes can be defined.

class PrettyHelloWorld(PrettyClass):

    def __pformat__(self, specifier, depth, indent, shorten):
        return f"Hello world! Got {specifier!r}, {depth}, {indent}, {shorten}."


print(PrettyHelloWorld())
"""
Hello world! Got '', 0, 4, True.
"""

Use f-strings with your classes.

"""
format_spec ::= [[[shorten|]depth>>]indent:][specifier]
shorten     ::= T | F
depth       ::= digit+
indent      ::= digit+ without leading 0
specifier   ::= anything else you want to support e.g. ".2f"
"""

print(f"{PrettyHelloWorld():F|5>>6:.2f}")
Hello World! Got '.2f', 5, 6, False.

Custom formatters for existing classes can be registered.

import numpy as np

@register(np.ndarray)
def pformat_ndarray(obj, specifier, depth, indent, shorten):
    with np.printoptions(formatter=dict(all=lambda x: format(x, specifier))):
        return repr(obj).replace("\n", "\n" + " " * depth)

pprint(dict.fromkeys("ABC", np.arange(9).reshape(3, 3)))
"""
{
    'A':
        array([[0, 1, 2],
               [3, 4, 5],
               [6, 7, 8]]),
    'B':
        array([[0, 1, 2],
               [3, 4, 5],
               [6, 7, 8]]),
    'C':
        array([[0, 1, 2],
               [3, 4, 5],
               [6, 7, 8]]),
}
"""