pytablewriter 0.36.1

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.

pytablewriter

Table of Contents

• Summary
  • Features
• Examples
  • Write tables
  • Get rendered tabular text as str
  • Configure table format
  • Make tables for specific applications
  • Multibyte charater support
  • For more information
• Installation
• Dependencies
  • Optional dependencies
  • Test dependencies
• Documentation
• Related Project

Summary

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.

Features

• Write a table in various formats:

  • CSV / Tab-separated values (TSV)
  • Elasticsearch
  • Microsoft Excel ^TM (.xlsx/.xls file format)
  • HTML
  • JSON
  • Labeled Tab-separated Values (LTSV)
  • Line-delimited JSON(LDJSON)/NDJSON/JSON Lines
  • LaTeX: tabular/array environment
  • Markdown
  • MediaWiki
  • reStructuredText: Grid Tables/Simple Tables/CSV Table

  • Source code

    • JavaScript code (Definition of a nested list variable)
    • NumPy (Definition of a numpy.array variable)
    • Pandas (Definition of a pandas.DataFrame variable)
    • Python code (Definition of a nested list variable)

  • Space aligned values
  • SQLite database file
  • 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/Jupyter-Notebook
• Get rendered tabular text
• ANSI color support

Examples

Write tables

Write a Markdown table

Sample Code:	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()
Output:	# 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:
	Rendered markdown at GitHub

Write a Markdown table with a margin

Sample Code:

import pytablewriter writer = pytablewriter.MarkdownTableWriter() writer.table_name = "write example with a margin" 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.margin = 1 # add a whitespace for both sides of each cell writer.write_table()

Output:

# 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:	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()
Output:	.. 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:
	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:

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()

Output:

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:

import pytablewriter writer = pytablewriter.ExcelXlsxTableWriter() writer.open("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:

Output excel file (sample_single.xlsx)

Write a Markdown table from pandas.DataFrame instance

Sample Code:

from textwrap import dedent import pandas as pd import pytablewriter import six 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 = pytablewriter.MarkdownTableWriter() writer.from_dataframe(df) writer.write_table()

Output:

| 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 markdown table from a space-separated values

Sample Code:

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:

# 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.

Sample Code:

import pytablewriter writer = pytablewriter.MarkdownTableWriter() 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"], ] print(writer.dumps())

Output:

|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 format

Set alignment for each column

pytablewriter will automatically set alignment for each column by data types. You can set alignment for each column manually by align_list attribute of writer classes.

Sample Code:

from pytablewriter import Align, MarkdownTableWriter writer = MarkdownTableWriter() writer.table_name = "specify alignment for each column manually" writer.header_list = ["left", "right", "center", "auto (int)", "auto (str)", "None (auto)"] writer.value_matrix = [ [0, "r", "center align", 0, "a", "n"], [11, "right align", "c", 11, "auto", "none"], ] writer.align_list = [Align.LEFT, Align.RIGHT, Align.CENTER, Align.AUTO, Align.AUTO, None] writer.write_table()

Output:

# specify alignment for each column manually |left| right | center |auto (int)|auto (str)|None (auto)| |----|----------:|:----------:|---------:|----------|-----------| |0 | r|center align| 0|a |n | |11 |right align| c | 11|auto |none |

Rendering result

Make tables for specific applications

Create Elasticsearch index and put data

Sample Code:

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.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=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:

----- 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

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:

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()

Output:

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]

• 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
• dominate
• logbook
• mbstrdecoder
• msgfy
• pathvalidate
• six
• tabledata
• typepy

Optional dependencies

• pytablereader
• simplejson

• Elasticsearch:

  • elasticsearch

• Excel

  • xlwt
  • XlsxWriter

• SQLite

  • SimpleSQLite

• TOML

  • toml

Test dependencies

• pytest
• pytest-runner
• tox

Documentation

https://pytablewriter.rtfd.io/

Related Project

• pytablereader

  • Tabular data loaded by pytablereader can be written another tabular data format with pytablewriter.