table-logger

TableLogger is a handy Python utility for logging tabular data into a console or a file.


Keywords
tabular, structured, data, console, log
License
GPL-3.0
Install
pip install table-logger==0.3.6

Documentation

TableLogger

TableLogger is a handy Python utility for logging tabular data into a console or a text file with little overhead.

Usage

from table_logger import TableLogger
tbl = TableLogger(columns='a,b,c,d')

tbl(1, 'Row1', datetime.now(), math.pi)
tbl(2, 'Row2', datetime.now(), 1/3)
tbl(3, 'Row3', datetime.now(), random.random())

Output:

+----------------------+----------------------+---------------------+----------------------+
|                    a | b                    | c                   |                    d |
|----------------------+----------------------+---------------------+----------------------|
|                    1 | Row1                 | 2015-12-28 21:13:46 |    3.141592653589793 |
|                    2 | Row2                 | 2015-12-28 21:13:46 |    0.333333333333333 |
|                    3 | Row3                 | 2015-12-28 21:13:46 |    0.854212894923849 |

Features

  • sane default formatting for basic python types
  • row number, timestamp and time delta columns
  • csv output
  • allows to adjust column width and format
  • python 2.7 and 3 support

Installation

PyPI:

$ pip install table-logger

GitHub:

$ git clone https://github.com/AleksTk/table-logger
$ cd table-logger
$ python setup.py install

Examples

Include row number, time-delta and timestamp columns

tbl = TableLogger(columns='data', rownum=True, time_delta=True, timestamp=True)
for e in 'abcde':
    time.sleep(random.randint(0, 3))
    tbl(e)

Output:

+-----------+----------------------------+-----------------+----------------------+
|       row | timestamp                  |      time delta | data                 |
|-----------+----------------------------+-----------------+----------------------|
|         1 | 2016-01-01 21:40:35.956815 |     0.000000000 | a                    |
|         2 | 2016-01-01 21:40:35.957315 |     0.000000000 | b                    |
|         3 | 2016-01-01 21:40:37.957569 |     2.000253916 | c                    |
|         4 | 2016-01-01 21:40:37.957569 |     0.000500202 | d                    |
|         5 | 2016-01-01 21:40:39.958323 |     2.000253916 | e                    |

Write to csv file

with open('log.csv', 'wb') as csvfile:
   tbl = TableLogger(file=csvfile, csv=True, columns='a,b')
   tbl('John "Smith"',  1200000.890)
   tbl('Tommy,Cache',   70000.125)

Output:

a,b
"John ""Smith""",1200000.890000
"Tommy,Cache",70000.125000

Specify custom column widths and formatters

tbl = TableLogger(columns='name,salary',
                  float_format='{:,.2f}'.format,
                  default_colwidth=15)
tbl('John Smith',  1200000.890)
tbl('Tommy Cache',   70000.125)

Output:

+-----------------+-----------------+
| name            |          salary |
|-----------------+-----------------|
| John Smith      |    1,200,000.89 |
| Tommy Cache     |       70,000.12 |