pytablewriter 0.20.1

A python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LTSV / Markdown / MediaWiki / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

Home-page: https://github.com/thombashi/pytablewriter
Author: Tsuyoshi Hombashi
Author-email: [e-mail]
License: MIT License
Description: pytablewriter
=============

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Summary
-------

A python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LTSV / Markdown / MediaWiki / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

Features
--------

- Write a table in various formats:
- CSV
- `Elasticsearch <https://www.elastic.co/products/elasticsearch>`__
- Microsoft Excel :superscript:`TM` (``.xlsx``/``.xls`` file format)
- HTML
- JSON
- `Labeled Tab-separated Values (LTSV) <http://ltsv.org/>`__
- 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
- `Pandas <http://pandas.pydata.org/>`__ (Definition of a - `pandas.DataFrame <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html>`__ variable)
- Python code (Definition of a nested list variable)
- JavaScript code (Definition of a nested list variable)
- SQLite database file
- Tab-separated values (TSV)
- `TOML <https://github.com/toml-lang/toml>`__
- Automatic tabular data formatting
- Alignment
- Padding
- Decimal places of numbers
- Multibyte character support
- Write table to a stream such as a file/standard-output/string-buffer

Examples
========

Write a Markdown table
----------------------

.. code:: python

import pytablewriter

writer = pytablewriter.MarkdownTableWriter()
writer.table_name = "example_table"
writer.header_list = ["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()

.. code::

# 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 reStructuredText table (Grid Tables)
--------------------------------------------


.. code:: python

import pytablewriter

writer = pytablewriter.RstGridTableWriter()
writer.table_name = "example_table"
writer.header_list = ["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()


.. code::

.. 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)
---------------------------------------------------------------------------

.. code:: python

import pytablewriter

writer = pytablewriter.JavaScriptTableWriter()
writer.table_name = "example_table"
writer.header_list = ["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()

.. code:: 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
-------------------------------

.. code:: python

import pytablewriter

writer = pytablewriter.ExcelXlsxTableWriter()
writer.open_workbook("sample.xlsx")

writer.make_worksheet("example")
writer.header_list = ["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.write_table()

writer.close()


Output of Excel book
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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

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

Write a table from ``pandas.DataFrame`` instance
------------------------------------------------


.. code:: python

import pandas as pd
import pytablewriter
from StringIO import StringIO

csv_data = StringIO(u""""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 = pytablewriter.MarkdownTableWriter()
writer.from_dataframe(df)
writer.write_table()


.. code::

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

Write a table using multibyte character
---------------------------------------

You can use multibyte character as table data.

.. code:: python

import pytablewriter

writer = pytablewriter.RstSimpleTableWriter()
writer.table_name = "生成に関するパターン"
writer.header_list = ["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()


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

Output of multi-byte character table


Create Elasticsearch index and put data
---------------------------------------

.. code:: python

import datetime
import json

from elasticsearch import Elasticsearch

import pytablewriter as ptw


es = Elasticsearch(hosts="localhost:9200")
index_name = "es_writer_example"

writer = ptw.ElasticsearchWriter()
writer.stream = es
writer.table_name = index_name
writer.header_list = [
"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=index_name, ignore=404)

# create an index and put data ---
writer.write_table()

# display the result ---
es.indices.refresh(index=index_name)

print("----- mappings -----")
response = es.indices.get_mapping(index=index_name, doc_type="table")
print("{}\n".format(json.dumps(response, indent=4)))

print("----- documents -----")
response = es.search(
index=index_name,
doc_type="table",
body={
"query": {"match_all": {}}
}
)
for hit in response["hits"]["hits"]:
print(json.dumps(hit["_source"], indent=4))

.. code::

----- 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": "ip"
},
"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"
}

For more information
--------------------

More examples are available at
http://pytablewriter.rtfd.io/en/latest/pages/examples/index.html

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

::

pip install pytablewriter


Dependencies
============

Python 2.7+ or 3.3+

- `DataPropery <https://github.com/thombashi/DataProperty>`__
- `dominate <http://github.com/Knio/dominate/>`__
- `elasticsearch <https://github.com/elastic/elasticsearch-py>`__
- `logbook <http://logbook.readthedocs.io/en/stable/>`__
- `mbstrdecoder <https://github.com/thombashi/mbstrdecoder>`__
- `pathvalidate <https://github.com/thombashi/pathvalidate>`__
- `pytablereader <https://github.com/thombashi/pytablereader>`__
- `SimpleSQLite <https://github.com/thombashi/SimpleSQLite>`__
- `six <https://pypi.python.org/pypi/six/>`__
- `toml <https://github.com/uiri/toml>`__
- `typepy <https://github.com/thombashi/typepy>`__
- `XlsxWriter <http://xlsxwriter.readthedocs.io/>`__
- `xlwt <http://www.python-excel.org/>`__


Test dependencies
-----------------

- `pytest <http://pytest.org/latest/>`__
- `pytest-runner <https://pypi.python.org/pypi/pytest-runner>`__
- `tox <https://testrun.org/tox/latest/>`__

Documentation
=============

http://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``.


Keywords: table,CSV,Excel,JavaScript,JSON,LTSV,Markdown,MediaWiki,HTML,pandas,reStructuredText,SQLite,TSV,TOML
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules