.. 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.
.. 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
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:target: https://travis-ci.org/thombashi/pytablewriter
:alt: Linux/macOS CI status
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: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)
- 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/arrayenvironment - Markdown
- 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 anumpy.array <https://docs.scipy.org/doc/numpy/reference/generated/numpy.array.html>__ variable)Pandas <https://pandas.pydata.org/>__ (Definition of apandas.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>__- Unicode
- Binary file formats:
- Microsoft Excel :superscript:
TM(.xlsx/.xlsfile format) - SQLite database
- Microsoft Excel :superscript:
- Application specific formats:
Elasticsearch <https://www.elastic.co/products/elasticsearch>__
- Text formats:
- Automatic tabular data formatting
- Alignment
- Padding
- Decimal places of numbers
- Configure cell styles:
- 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, --:, ----:, ----, -----, -------:, ------------------------, 0.10, hoge, True, 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, ----:, ------:, ------, -------, ---------:, --------------------------, 0.10, hoge, True, 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, +===+=====+====+=====+========+========================+, 0.10, hoge, True, 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, +===+=====+====+=====+========+========================+, 0.10, hoge, True, 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, 0.4, 77664, 8784, ?, Ss, May11, 0:02, /sbin/init, root, 2, 0.0, ?, S, May11, 0:00, [kthreadd], root, 4, 0.0, ?, I<, May11, 0:00, [kworker/0:0H], root, 6, 0.0, ?, I<, May11, 0:00, [mm_percpu_wq], root, 7, 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, --:, ----:, ----, -----, -------:, ------------------------, 0.10, hoge, True, 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
------------------------
Writers can specify cell
`Style <https://pytablewriter.rtfd.io/en/latest/pages/reference/style.html>`__
for each column manually 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, Make tables for specific applications
---------------------------------------
Create Elasticsearch index and put data
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:Sample Code:
.. code-block:: python
import datetime
import json
from elasticsearch import Elasticsearch
import pytablewriter as ptw
def main():
es = Elasticsearch(hosts="localhost:9200")
writer = ptw.ElasticsearchWriter()
writer.stream = es
writer.index_name = "es writer example"
writer.headers = [
"str", "byte", "short", "int", "long", "float", "date", "bool", "ip",
]
writer.value_matrix = [
[
"abc", 100, 10000, 2000000000, 200000000000, 0.1,
datetime.datetime(2017, 1, 2, 3, 4, 5), True, "127.0.0.1",
],
[
"def", -10, -1000, -200000000, -20000000000, 100.1,
datetime.datetime(2017, 6, 5, 4, 5, 2), False, "::1",
],
]
# delete existing index ---
es.indices.delete(index=writer.index_name, ignore=404)
# create an index and put data ---
writer.write_table()
# display the result ---
es.indices.refresh(index=writer.index_name)
print("----- mappings -----")
response = es.indices.get_mapping(index=writer.index_name, doc_type="table")
print("{}\n".format(json.dumps(response, indent=4)))
print("----- documents -----")
response = es.search(
index=writer.index_name,
doc_type="table",
body={
"query": {"match_all": {}}
}
)
for hit in response["hits"]["hits"]:
print(json.dumps(hit["_source"], indent=4))
if __name__ == "__main__":
main()
:Output:
.. code-block::
----- mappings -----
{
"es_writer_example": {
"mappings": {
"table": {
"properties": {
"bool": {
"type": "boolean"
},
"byte": {
"type": "byte"
},
"date": {
"type": "date",
"format": "date_optional_time"
},
"float": {
"type": "double"
},
"int": {
"type": "integer"
},
"ip": {
"type": "text"
},
"long": {
"type": "long"
},
"short": {
"type": "short"
},
"str": {
"type": "text"
}
}
}
}
}
}
----- documents -----
{
"str": "def",
"byte": -10,
"short": -1000,
"int": -200000000,
"long": -20000000000,
"float": 100.1,
"date": "2017-06-05T04:05:02",
"bool": false,
"ip": "::1"
}
{
"str": "abc",
"byte": 100,
"short": 10000,
"int": 2000000000,
"long": 200000000000,
"float": 0.1,
"date": "2017-01-02T03:04:05",
"bool": true,
"ip": "127.0.0.1"
}
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
For more information
----------------------
More examples are available at
https://pytablewriter.rtfd.io/en/latest/pages/examples/index.html
Installation
============
Install from PyPI
------------------------------
::
pip install pytablewriter
Some of the formats require additional dependency packages, you can install the dependency packages as follows:
- Elasticsearch
- ``pip install pytablewriter[es6]`` or ``pip install pytablewriter[es5]``
- Excel
- ``pip install pytablewriter[excel]``
- HTML
- ``pip install pytablewriter[html]``
- SQLite
- ``pip install pytablewriter[sqlite]``
- TOML
- ``pip install pytablewriter[toml]``
- All of the extra dependencies
- ``pip install pytablewriter[all]``
Install from PPA (for Ubuntu)
------------------------------
::
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>`__
- `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>`__
- `simplejson <https://github.com/simplejson/simplejson>`__
- 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>`__
Test dependencies
-----------------
- `pytest <https://docs.pytest.org/en/latest/>`__
- `tox <https://testrun.org/tox/latest/>`__
Documentation
===============
https://pytablewriter.rtfd.io/
Related Project
=================
- `pytablereader <https://github.com/thombashi/pytablereader>`__
- Tabular data loaded by ``pytablereader`` can be written another tabular data format with ``pytablewriter``.
Tasks
=======
https://trello.com/b/kE0XG34y