Skip to main content

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

Project description

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 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.

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]]},
  },
]
"""

Dataclasses are supported by subclassing the PrettyDataclass.

from dataclasses import dataclass
from typing import List

bit_data = list(range(1000))

@dataclass
class Data(PrettyDataclass):
    data: List[int]
 
print(Data(big_data))  # Normal print.
"""
Data(data=[0, 1, 2, 3, 4, ..., 997, 998, 999])
"""

@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],
)
"""

Custom formatters can be registered.

import numpy as np

@register(np.ndarray)
def pformat_ndarray(obj, specifier, depth, indent):
    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]]),
}
"""

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

prettyformatter-1.1.1.tar.gz (8.0 kB view hashes)

Uploaded Source

Built Distribution

prettyformatter-1.1.1-py3-none-any.whl (8.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page