pytablewriter 0.43.0

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.

.. contents:: **pytablewriter**
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: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

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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

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

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: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``/``array`` environment
- 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 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/generated/pandas.DataFrame.html>`__ variable)
- Python code (Definition of a nested list variable)
- Space aligned values
- `TOML <https://github.com/toml-lang/toml>`__
- 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 alignment
- Font size/weight
- Thousand separator for numbers: e.g. ``1,000``/``1 000``
- Multibyte character support
- Write table to a stream such as a file/standard-output/string-buffer/Jupyter-Notebook
- Get rendered tabular text
- ANSI color support

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

import pytablewriter

writer = pytablewriter.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()

: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

import pytablewriter

writer = pytablewriter.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()

: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

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()

: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

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()


: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

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")

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

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

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 six
from pytablewriter import MarkdownTableWriter

csv_data = six.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()

: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 ``add_index_column=True``:

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

import pandas as pd
from pytablewriter import MarkdownTableWriter

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()

: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

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()

: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`` available only for text format writers.

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

import pytablewriter

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())

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

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

from pytablewriter import MarkdownTableWriter
from pytablewriter.style import Style

writer = MarkdownTableWriter()
writer.table_name = "set style by 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.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()

: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

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

writer.table_name = "set style by 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()

:Output:
.. code-block::

# set style by 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

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))


: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"
}

Formatting a table for 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 charater 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

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()

: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
============
::

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]``


Dependencies
============
Python 2.7+ or 3.4+

- `DataProperty <https://github.com/thombashi/DataProperty>`__
- `mbstrdecoder <https://github.com/thombashi/mbstrdecoder>`__
- `msgfy <https://github.com/thombashi/msgfy>`__
- `pathvalidate <https://github.com/thombashi/pathvalidate>`__
- `six <https://pypi.org/project/six/>`__
- `tabledata <https://github.com/thombashi/tabledata>`__
- `typepy <https://github.com/thombashi/typepy>`__

Optional dependencies
---------------------
- `logbook <https://logbook.readthedocs.io/en/stable/>`__
- Logging using logbook 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/>`__
- `pytest-runner <https://github.com/pytest-dev/pytest-runner>`__
- `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
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https://trello.com/b/kE0XG34y