Skip to main content

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV / YAML.

Project description

.. contents:: **pytablewriter**
:backlinks: top
:depth: 2

Summary
=========
`pytablewriter <https://github.com/thombashi/pytablewriter>`__ is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV / YAML.

.. image:: https://badge.fury.io/py/pytablewriter.svg
:target: https://badge.fury.io/py/pytablewriter
:alt: PyPI package version

.. image:: https://img.shields.io/pypi/pyversions/pytablewriter.svg
:target: https://pypi.org/project/pytablewriter/
:alt: Supported Python versions

.. image:: https://img.shields.io/pypi/implementation/pytablewriter.svg
:target: https://pypi.org/project/pytablewriter
:alt: Supported Python implementations

.. image:: https://img.shields.io/travis/thombashi/pytablewriter/master.svg?label=Linux/macOS%20CI
:target: https://travis-ci.org/thombashi/pytablewriter
:alt: Linux/macOS CI status

.. image:: https://img.shields.io/appveyor/ci/thombashi/pytablewriter/master.svg?label=Windows%20CI
:target: https://ci.appveyor.com/project/thombashi/pytablewriter
:alt: Windows CI status

.. image:: https://coveralls.io/repos/github/thombashi/pytablewriter/badge.svg?branch=master
:target: https://coveralls.io/github/thombashi/pytablewriter?branch=master
:alt: Test coverage

.. image:: https://img.shields.io/github/stars/thombashi/pytablewriter.svg?style=social&label=Star
:target: https://github.com/thombashi/pytablewriter
:alt: GitHub stars

Features
--------
- Write a table in various formats:
- Text formats:
- CSV / Tab-separated values (TSV)
- CSS
- HTML
- JSON
- `Labeled Tab-separated Values (LTSV) <http://ltsv.org/>`__
- `Line-delimited JSON(LDJSON) <https://en.wikipedia.org/wiki/JSON_streaming#Line-delimited_JSON>`__/NDJSON/JSON Lines
- LaTeX: ``tabular``/``array`` environment
- Markdown: GitHub Flavored Markdown (GFM), etc.
- MediaWiki
- reStructuredText: `Grid Tables <http://docutils.sourceforge.net/docs/ref/rst/restructuredtext.html#grid-tables>`__/`Simple Tables <http://docutils.sourceforge.net/docs/ref/rst/restructuredtext.html#simple-tables>`__/`CSV Table <http://docutils.sourceforge.net/docs/ref/rst/directives.html#id4>`__
- Source code
- JavaScript code (Definition of a nested list variable)
- `NumPy <https://www.numpy.org/>`__ (Definition of a `numpy.array <https://docs.scipy.org/doc/numpy/reference/generated/numpy.array.html>`__ variable)
- `Pandas <https://pandas.pydata.org/>`__ (Definition of a `pandas.DataFrame <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html>`__ variable)
- Python code (Definition of a nested list variable)
- Space aligned values
- `TOML <https://github.com/toml-lang/toml>`__
- `YAML <https://yaml.org/>`__
- Unicode
- Binary file formats:
- Microsoft Excel :superscript:`TM` (``.xlsx``/``.xls`` file format)
- SQLite database
- Application specific formats:
- `Elasticsearch <https://www.elastic.co/products/elasticsearch>`__
- Automatic tabular data formatting
- Alignment
- Padding
- Decimal places of numbers
- Configure cell styles:
- Text/Background color
- Text alignment
- Font size/weight
- Thousand separator for numbers: e.g. ``1,000``/``1 000``
- Configure output:
- Write table to a stream such as a file/standard-output/string-buffer/Jupyter-Notebook
- Get rendered tabular text
- Data source
- nested list
- CSV
- `pandas.DataFrame <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html>`__
- `pandas.Series <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html>`__
- etc.
- Multibyte character support
- ANSI color support

Examples
==========
Write tables
--------------
Write a Markdown table
~~~~~~~~~~~~~~~~~~~~~~~~
:Sample Code:
.. code-block:: python

from pytablewriter import MarkdownTableWriter

def main():
writer = MarkdownTableWriter()
writer.table_name = "example_table"
writer.headers = ["int", "float", "str", "bool", "mix", "time"]
writer.value_matrix = [
[0, 0.1, "hoge", True, 0, "2017-01-01 03:04:05+0900"],
[2, "-2.23", "foo", False, None, "2017-12-23 45:01:23+0900"],
[3, 0, "bar", "true", "inf", "2017-03-03 33:44:55+0900"],
[-10, -9.9, "", "FALSE", "nan", "2017-01-01 00:00:00+0900"],
]

writer.write_table()

if __name__ == "__main__":
main()

:Output:
.. code-block::

# example_table
|int|float|str |bool | mix | time |
|--:|----:|----|-----|-------:|------------------------|
| 0| 0.10|hoge|True | 0|2017-01-01 03:04:05+0900|
| 2|-2.23|foo |False| |2017-12-23 12:34:51+0900|
| 3| 0.00|bar |True |Infinity|2017-03-03 22:44:55+0900|
|-10|-9.90| |False| NaN|2017-01-01 00:00:00+0900|

:Rendering Result:
.. figure:: ss/markdown.png
:scale: 80%
:alt: markdown_ss

Rendered markdown at GitHub

Write a Markdown table with a margin
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
:Sample Code:
.. code-block:: python

from pytablewriter import MarkdownTableWriter

def main():
writer = MarkdownTableWriter()
writer.table_name = "write example with a margin"
writer.headers = ["int", "float", "str", "bool", "mix", "time"]
writer.value_matrix = [
[0, 0.1, "hoge", True, 0, "2017-01-01 03:04:05+0900"],
[2, "-2.23", "foo", False, None, "2017-12-23 45:01:23+0900"],
[3, 0, "bar", "true", "inf", "2017-03-03 33:44:55+0900"],
[-10, -9.9, "", "FALSE", "nan", "2017-01-01 00:00:00+0900"],
]
writer.margin = 1 # add a whitespace for both sides of each cell

writer.write_table()

if __name__ == "__main__":
main()

:Output:
.. code-block::

# write example with a margin
| int | float | str | bool | mix | time |
|----:|------:|------|-------|---------:|--------------------------|
| 0 | 0.10 | hoge | True | 0 | 2017-01-01 03:04:05+0900 |
| 2 | -2.23 | foo | False | | 2017-12-23 12:34:51+0900 |
| 3 | 0.00 | bar | True | Infinity | 2017-03-03 22:44:55+0900 |
| -10 | -9.90 | | False | NaN | 2017-01-01 00:00:00+0900 |

``margin`` attribute can be available for all of the text format writer classes.

Write a reStructuredText table (Grid Tables)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:Sample Code:
.. code-block:: python

import pytablewriter

def main():
writer = pytablewriter.RstGridTableWriter()
writer.table_name = "example_table"
writer.headers = ["int", "float", "str", "bool", "mix", "time"]
writer.value_matrix = [
[0, 0.1, "hoge", True, 0, "2017-01-01 03:04:05+0900"],
[2, "-2.23", "foo", False, None, "2017-12-23 45:01:23+0900"],
[3, 0, "bar", "true", "inf", "2017-03-03 33:44:55+0900"],
[-10, -9.9, "", "FALSE", "nan", "2017-01-01 00:00:00+0900"],
]

writer.write_table()

if __name__ == "__main__":
main()

:Output:
.. code-block:: ReST

.. table:: example_table

+---+-----+----+-----+--------+------------------------+
|int|float|str |bool | mix | time |
+===+=====+====+=====+========+========================+
| 0| 0.10|hoge|True | 0|2017-01-01 03:04:05+0900|
+---+-----+----+-----+--------+------------------------+
| 2|-2.23|foo |False| |2017-12-23 12:34:51+0900|
+---+-----+----+-----+--------+------------------------+
| 3| 0.00|bar |True |Infinity|2017-03-03 22:44:55+0900|
+---+-----+----+-----+--------+------------------------+
|-10|-9.90| |False| NaN|2017-01-01 00:00:00+0900|
+---+-----+----+-----+--------+------------------------+

:Rendering Result:
.. table:: example_table

+---+-----+----+-----+--------+------------------------+
|int|float|str |bool | mix | time |
+===+=====+====+=====+========+========================+
| 0| 0.10|hoge|True | 0|2017-01-01 03:04:05+0900|
+---+-----+----+-----+--------+------------------------+
| 2|-2.23|foo |False| |2017-12-23 12:34:51+0900|
+---+-----+----+-----+--------+------------------------+
| 3| 0.00|bar |True |Infinity|2017-03-03 22:44:55+0900|
+---+-----+----+-----+--------+------------------------+
|-10|-9.90| |False| NaN|2017-01-01 00:00:00+0900|
+---+-----+----+-----+--------+------------------------+

Write a table with JavaScript format (as a nested list variable definition)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:Sample Code:
.. code-block:: python

import pytablewriter

def main():
writer = pytablewriter.JavaScriptTableWriter()
writer.table_name = "example_table"
writer.headers = ["int", "float", "str", "bool", "mix", "time"]
writer.value_matrix = [
[0, 0.1, "hoge", True, 0, "2017-01-01 03:04:05+0900"],
[2, "-2.23", "foo", False, None, "2017-12-23 45:01:23+0900"],
[3, 0, "bar", "true", "inf", "2017-03-03 33:44:55+0900"],
[-10, -9.9, "", "FALSE", "nan", "2017-01-01 00:00:00+0900"],
]

writer.write_table()

if __name__ == "__main__":
main()

:Output:
.. code-block:: js

const example_table = [
["int", "float", "str", "bool", "mix", "time"],
[0, 0.10, "hoge", true, 0, "2017-01-01 03:04:05+0900"],
[2, -2.23, "foo", false, null, "2017-12-23 12:34:51+0900"],
[3, 0.00, "bar", true, Infinity, "2017-03-03 22:44:55+0900"],
[-10, -9.90, "", false, NaN, "2017-01-01 00:00:00+0900"]
];

Write a table to an Excel sheet
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:Sample Code:
.. code-block:: python

from pytablewriter import ExcelXlsxTableWriter

def main():
writer = ExcelXlsxTableWriter()
writer.table_name = "example"
writer.headers = ["int", "float", "str", "bool", "mix", "time"]
writer.value_matrix = [
[0, 0.1, "hoge", True, 0, "2017-01-01 03:04:05+0900"],
[2, "-2.23", "foo", False, None, "2017-12-23 12:34:51+0900"],
[3, 0, "bar", "true", "inf", "2017-03-03 22:44:55+0900"],
[-10, -9.9, "", "FALSE", "nan", "2017-01-01 00:00:00+0900"],
]
writer.dump("sample.xlsx")

if __name__ == "__main__":
main()

:Output:
.. figure:: ss/excel_single.png
:scale: 100%
:alt: excel_single

Output excel file (``sample_single.xlsx``)

Write a Unicode table
~~~~~~~~~~~~~~~~~~~~~~~
:Sample Code:
.. code-block:: python

from pytablewriter import UnicodeTableWriter

def main():
writer = UnicodeTableWriter()
writer.table_name = "example_table"
writer.headers = ["int", "float", "str", "bool", "mix", "time"]
writer.value_matrix = [
[0, 0.1, "hoge", True, 0, "2017-01-01 03:04:05+0900"],
[2, "-2.23", "foo", False, None, "2017-12-23 45:01:23+0900"],
[3, 0, "bar", "true", "inf", "2017-03-03 33:44:55+0900"],
[-10, -9.9, "", "FALSE", "nan", "2017-01-01 00:00:00+0900"],
]

writer.write_table()

if __name__ == "__main__":
main()

:Output:
.. code-block::

┌───┬─────┬────┬─────┬────────┬────────────────────────┐
│int│float│str │bool │ mix │ time │
├───┼─────┼────┼─────┼────────┼────────────────────────┤
│ 0│ 0.10│hoge│True │ 0│2017-01-01 03:04:05+0900│
├───┼─────┼────┼─────┼────────┼────────────────────────┤
│ 2│-2.23│foo │False│ │2017-12-23 12:34:51+0900│
├───┼─────┼────┼─────┼────────┼────────────────────────┤
│ 3│ 0.00│bar │True │Infinity│2017-03-03 22:44:55+0900│
├───┼─────┼────┼─────┼────────┼────────────────────────┤
│-10│-9.90│ │False│ NaN│2017-01-01 00:00:00+0900│
└───┴─────┴────┴─────┴────────┴────────────────────────┘

Write a Markdown table from ``pandas.DataFrame`` instance
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
``from_dataframe`` method of writer classes will set up tabular data from ``pandas.DataFrame``:

:Sample Code:
.. code-block:: python

from textwrap import dedent
import pandas as pd
import io
from pytablewriter import MarkdownTableWriter

def main():
csv_data = io.StringIO(dedent("""\
"i","f","c","if","ifc","bool","inf","nan","mix_num","time"
1,1.10,"aa",1.0,"1",True,Infinity,NaN,1,"2017-01-01 00:00:00+09:00"
2,2.20,"bbb",2.2,"2.2",False,Infinity,NaN,Infinity,"2017-01-02 03:04:05+09:00"
3,3.33,"cccc",-3.0,"ccc",True,Infinity,NaN,NaN,"2017-01-01 00:00:00+09:00"
"""))
df = pd.read_csv(csv_data, sep=',')

writer = MarkdownTableWriter()
writer.from_dataframe(df)
writer.write_table()

if __name__ == "__main__":
main()

:Output:
.. code-block::

| i | f | c | if |ifc|bool | inf |nan|mix_num | time |
|--:|---:|----|---:|---|-----|--------|---|-------:|-------------------------|
| 1|1.10|aa | 1.0| 1|True |Infinity|NaN| 1|2017-01-01 00:00:00+09:00|
| 2|2.20|bbb | 2.2|2.2|False|Infinity|NaN|Infinity|2017-01-02 03:04:05+09:00|
| 3|3.33|cccc|-3.0|ccc|True |Infinity|NaN| NaN|2017-01-01 00:00:00+09:00|


Adding a column of the DataFrame index if you specify ``add_index_column=True``:

:Sample Code:
.. code-block:: python

import pandas as pd
from pytablewriter import MarkdownTableWriter

def main():
writer = MarkdownTableWriter()
writer.table_name = "add_index_column"
writer.from_dataframe(
pd.DataFrame({"A": [1, 2], "B": [10, 11]}, index=["a", "b"]),
add_index_column=True,
)
writer.write_table()

if __name__ == "__main__":
main()

:Output:
.. code-block::

# add_index_column
| | A | B |
|---|--:|--:|
|a | 1| 10|
|b | 2| 11|

Write a markdown table from a space-separated values
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:Sample Code:
.. code-block:: python

from textwrap import dedent
import pytablewriter

def main():
writer = pytablewriter.MarkdownTableWriter()
writer.table_name = "ps"
writer.from_csv(
dedent("""\
USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND
root 1 0.0 0.4 77664 8784 ? Ss May11 0:02 /sbin/init
root 2 0.0 0.0 0 0 ? S May11 0:00 [kthreadd]
root 4 0.0 0.0 0 0 ? I< May11 0:00 [kworker/0:0H]
root 6 0.0 0.0 0 0 ? I< May11 0:00 [mm_percpu_wq]
root 7 0.0 0.0 0 0 ? S May11 0:01 [ksoftirqd/0]
"""),
delimiter=" ")
writer.write_table()

if __name__ == "__main__":
main()

:Output:
.. code-block::

# ps
|USER|PID|%CPU|%MEM| VSZ |RSS |TTY|STAT|START|TIME| COMMAND |
|----|--:|---:|---:|----:|---:|---|----|-----|----|--------------|
|root| 1| 0| 0.4|77664|8784|? |Ss |May11|0:02|/sbin/init |
|root| 2| 0| 0.0| 0| 0|? |S |May11|0:00|[kthreadd] |
|root| 4| 0| 0.0| 0| 0|? |I< |May11|0:00|[kworker/0:0H]|
|root| 6| 0| 0.0| 0| 0|? |I< |May11|0:00|[mm_percpu_wq]|
|root| 7| 0| 0.0| 0| 0|? |S |May11|0:01|[ksoftirqd/0] |

Get rendered tabular text as str
----------------------------------
``dumps`` method returns rendered tabular text.
``dumps`` only available for text format writers.

:Sample Code:
.. code-block:: python

import pytablewriter

def main():
writer = pytablewriter.MarkdownTableWriter()
writer.headers = ["int", "float", "str", "bool", "mix", "time"]
writer.value_matrix = [
[0, 0.1, "hoge", True, 0, "2017-01-01 03:04:05+0900"],
[2, "-2.23", "foo", False, None, "2017-12-23 45:01:23+0900"],
[3, 0, "bar", "true", "inf", "2017-03-03 33:44:55+0900"],
[-10, -9.9, "", "FALSE", "nan", "2017-01-01 00:00:00+0900"],
]

print(writer.dumps())

if __name__ == "__main__":
main()

:Output:
.. code-block::

|int|float|str |bool | mix | time |
|--:|----:|----|-----|-------:|------------------------|
| 0| 0.10|hoge|True | 0|2017-01-01 03:04:05+0900|
| 2|-2.23|foo |False| |2017-12-23 45:01:23+0900|
| 3| 0.00|bar |True |Infinity|2017-03-03 33:44:55+0900|
|-10|-9.90| |False| NaN|2017-01-01 00:00:00+0900|

Configure table styles
------------------------
Column styles
~~~~~~~~~~~~~~~
Writers can specify
`Style <https://pytablewriter.rtfd.io/en/latest/pages/reference/style.html>`__
for each column by ``column_styles`` attribute of writer classes.

:Sample Code:
.. code-block:: python

from pytablewriter import MarkdownTableWriter
from pytablewriter.style import Style

def main():
writer = MarkdownTableWriter()
writer.table_name = "set style by column_styles"
writer.headers = [
"auto align",
"left align",
"center align",
"bold",
"italic",
"bold italic ts",
]
writer.value_matrix = [
[11, 11, 11, 11, 11, 11],
[1234, 1234, 1234, 1234, 1234, 1234],
]

# specify styles for each column
writer.column_styles = [
Style(),
Style(align="left"),
Style(align="center"),
Style(font_weight="bold"),
Style(font_style="italic"),
Style(font_weight="bold", font_style="italic", thousand_separator=","),
]

writer.write_table()

if __name__ == "__main__":
main()

:Output:
.. code-block::

# set style by styles
|auto align|left align|center align| bold |italic|bold italic ts|
|---------:|----------|:----------:|-------:|-----:|-------------:|
| 11|11 | 11 | **11**| _11_| _**11**_|
| 1234|1234 | 1234 |**1234**|_1234_| _**1,234**_|

`Rendering result <https://github.com/thombashi/pytablewriter/tree/master/docs/pages/examples/style/output.md>`__


You can also set ``Style`` to a specific column with index or header by using ``set_style`` method:

:Sample Code:
.. code-block:: python

from pytablewriter import MarkdownTableWriter
from pytablewriter.style import Style

def main():
writer = MarkdownTableWriter()
writer.headers = ["A", "B", "C",]
writer.value_matrix = [[11, 11, 11], [1234, 1234, 1234]]

writer.table_name = "set style by column index"
writer.set_style(1, Style(align="center", font_weight="bold"))
writer.set_style(2, Style(thousand_separator=" "))
writer.write_table()
writer.write_null_line()

writer.table_name = "set style by header"
writer.set_style("B", Style(font_style="italic"))
writer.write_table()

if __name__ == "__main__":
main()

:Output:
.. code-block::

# set style by column index
| A | B | C |
|---:|:------:|----:|
| 11| **11** | 11|
|1234|**1234**|1 234|

# set style by header
| A | B | C |
|---:|-----:|----:|
| 11| _11_| 11|
|1234|_1234_|1 234|

Style filter
~~~~~~~~~~~~~~
Example:

.. figure:: ss/color_filter.png
:scale: 60%
:alt: true_color_and_styles

Make tables for specific applications
---------------------------------------
Render a table on Jupyter Notebook
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
https://nbviewer.jupyter.org/github/thombashi/pytablewriter/blob/master/examples/ipynb/jupyter_notebook_example.ipynb

.. figure:: ss/jupyter_notebook.png
:scale: 100%
:alt: jupyter_notebook_table

Table formatting for Jupyter Notebook

Multibyte character support
-----------------------------
Write a table using multibyte character
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
You can use multibyte characters as table data.
Multibyte characters also properly padded and aligned.

:Sample Code:
.. code-block:: python

import pytablewriter

def main():
writer = pytablewriter.RstSimpleTableWriter()
writer.table_name = "生成に関するパターン"
writer.headers = ["パターン名", "概要", "GoF", "Code Complete[1]"]
writer.value_matrix = [
["Abstract Factory", "関連する一連のインスタンスを状況に応じて、適切に生成する方法を提供する。", "Yes", "Yes"],
["Builder", "複合化されたインスタンスの生成過程を隠蔽する。", "Yes", "No"],
["Factory Method", "実際に生成されるインスタンスに依存しない、インスタンスの生成方法を提供する。", "Yes", "Yes"],
["Prototype", "同様のインスタンスを生成するために、原型のインスタンスを複製する。", "Yes", "No"],
["Singleton", "あるクラスについて、インスタンスが単一であることを保証する。", "Yes", "Yes"],
]
writer.write_table()

if __name__ == "__main__":
main()

:Output:
.. figure:: ss/multi_byte_char.png
:scale: 100%
:alt: multi_byte_char_table

Output of multi-byte character table

Multi processing
------------------
You can increase the number of workers to process table data via ``max_workers`` attribute of a writer.
The more ``max_workers`` the less processing time when tabular data is large and the execution environment has available cores.

if you increase ``max_workers`` larger than one, recommend to use main guarded as follows to avoid problemes caused by multi processing:

.. code-block:: python

from multiprocessing import cpu_count
import pytablewriter as ptw

def main():
writer = ptw.MarkdownTableWriter()
writer.max_workers = cpu_count()
...

if __name__ == "__main__":
main()

For more information
----------------------
More examples are available at
https://pytablewriter.rtfd.io/en/latest/pages/examples/index.html

Installation
============

Installation: pip
------------------------------
::

pip install pytablewriter

Some of the formats require additional dependency packages, you can install these packages as follows:

- Elasticsearch
- ``pip install pytablewriter[es7]`` or ``pip install pytablewriter[es6]``
- Excel
- ``pip install pytablewriter[excel]``
- HTML
- ``pip install pytablewriter[html]``
- SQLite
- ``pip install pytablewriter[sqlite]``
- TOML
- ``pip install pytablewriter[toml]``
- Install all of the optioanal dependencies
- ``pip install pytablewriter[all]``

Installation: apt
------------------------------
::

sudo add-apt-repository ppa:thombashi/ppa
sudo apt update
sudo apt install python3-pytablewriter


Dependencies
============
Python 3.5+

- `DataProperty <https://github.com/thombashi/DataProperty>`__
- `mbstrdecoder <https://github.com/thombashi/mbstrdecoder>`__
- `msgfy <https://github.com/thombashi/msgfy>`__
- `pathvalidate <https://github.com/thombashi/pathvalidate>`__
- `tabledata <https://github.com/thombashi/tabledata>`__
- `tcolorpy <https://github.com/thombashi/tcolorpy>`__
- `typepy <https://github.com/thombashi/typepy>`__

Optional dependencies
---------------------
- `loguru <https://github.com/Delgan/loguru>`__
- Used for logging if the package installed
- `pytablereader <https://github.com/thombashi/pytablereader>`__
- Elasticsearch:
- `elasticsearch <https://github.com/elastic/elasticsearch-py>`__
- Excel
- `xlwt <http://www.python-excel.org/>`__
- `XlsxWriter <https://github.com/jmcnamara/XlsxWriter>`__
- HTML
- `dominate <https://github.com/Knio/dominate/>`__
- SQLite
- `SimpleSQLite <https://github.com/thombashi/SimpleSQLite>`__
- TOML
- `toml <https://github.com/uiri/toml>`__



Documentation
===============
https://pytablewriter.rtfd.io/

Projects using pytablewriter
==================================
- `pytest-md-report <https://github.com/thombashi/pytest-md-report>`__


Related Projects
==================================
- `pytablereader <https://github.com/thombashi/pytablereader>`__
- Tabular data loaded by ``pytablereader`` can be written another tabular data format with ``pytablewriter``.

Sponsors
====================================
.. image:: https://avatars0.githubusercontent.com/u/44389260?s=48&u=6da7176e51ae2654bcfd22564772ef8a3bb22318&v=4
:target: https://github.com/chasbecker
:alt: Charles Becker (chasbecker)


`Become a sponsor <https://github.com/sponsors/thombashi>`__



Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

pytablewriter-0.55.0.tar.gz (181.7 kB view details)

Uploaded Source

Built Distribution

pytablewriter-0.55.0-py3-none-any.whl (93.4 kB view details)

Uploaded Python 3

File details

Details for the file pytablewriter-0.55.0.tar.gz.

File metadata

  • Download URL: pytablewriter-0.55.0.tar.gz
  • Upload date:
  • Size: 181.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.6

File hashes

Hashes for pytablewriter-0.55.0.tar.gz
Algorithm Hash digest
SHA256 61073974ce5fe1cbd5d9f529e18df44b01ba135da4b379a52865ce7eb5af97c6
MD5 157ab24415aaa9e368d294fc04285578
BLAKE2b-256 f912c1de4a47faca824ae3370e6834c82825c388100c96e6acd113d573637e47

See more details on using hashes here.

File details

Details for the file pytablewriter-0.55.0-py3-none-any.whl.

File metadata

  • Download URL: pytablewriter-0.55.0-py3-none-any.whl
  • Upload date:
  • Size: 93.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.6

File hashes

Hashes for pytablewriter-0.55.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a9144e3d7663849926fd109d411e7e1b708362ccabe5951813ad0e20a15cfcef
MD5 d9360cb02239179373fd71d8e59ea27b
BLAKE2b-256 3c4b78e74627fcc299ad74d4b3d7570fe45447664913a19f87383c42f0eef014

See more details on using hashes here.

Supported by

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