pytablewriter 1.2.1

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

pytablewriter

• Summary

  • Features

• Installation

  • Installation: pip

  • Installation: conda

  • Installation: apt

• Examples

  • Write tables

  • Get rendered tabular text as str

  • Configure table styles

  • Make tables for specific applications

  • Multibyte character support

  • Multiprocessing

  • For more information

• Dependencies

  • Optional dependencies

• Documentation

• Projects using pytablewriter

• Related Projects

• Sponsors

Summary

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

Features

• Write a table in various formats:

  • Text formats:

    • AsciiDoc

    • CSV / Tab-separated values (TSV) / Space-separated values (SSV)

    • HTML / CSS

    • JSON / Line-delimited JSON(LDJSON)

    • Labeled Tab-separated Values (LTSV)

    • LaTeX: tabular/array environment

    • Markdown: CommonMark / GitHub Flavored Markdown (GFM) / kramdown

    • MediaWiki

    • reStructuredText: Grid Tables/Simple Tables/CSV Table

    • Source code (definition of a variable that represents tabular data)

      • JavaScript / NumPy (numpy.array) / Pandas (pandas.DataFrame) / Python

    • TOML

    • YAML

    • Unicode

  • Binary file formats:

    • Microsoft Excel ^TM (.xlsx/.xls file format)

    • pandas.DataFrame pickle file

    • SQLite database

  • Application-specific formats:

    • Elasticsearch

• Automatic table cell formatting:

  • Alignment

  • Padding

  • Decimal places of numbers

• Customize table cell styles:

  • Text/Background color

  • Text alignment

  • Font size/weight

  • Thousand separator for numbers: e.g. 1,000/1 000

• Configure output:

  • Write a table to a stream such as a file/standard-output/string-buffer/Jupyter-Notebook

  • Get rendered tabular text

• Data sources:

  • nested list

  • CSV

  • pandas.DataFrame / pandas.Series

  • etc.

• Multibyte character support

• ANSI color support

Installation

Installation: pip

pip install pytablewriter

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

Installation of optional dependencies

Installation example	Remark
pip install pytablewriter[es]	Elasticsearch
pip install pytablewriter[excel]	Excel
pip install pytablewriter[html]	HTML
pip install pytablewriter[sqlite]	SQLite database
pip install pytablewriter[toml]	TOML
pip install pytablewriter[theme]	pytablewriter theme plugins
pip install pytablewriter[all]	Install all of the optional dependencies

Installation: conda

conda install -c conda-forge pytablewriter

Installation: apt

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

Examples

Write tables

Write a Markdown table

Sample Code:

from pytablewriter import MarkdownTableWriter

def main():
    writer = MarkdownTableWriter(
        table_name="example_table",
        headers=["int", "float", "str", "bool", "mix", "time"],
        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:

# 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 margins

Sample Code:

from pytablewriter import MarkdownTableWriter

def main():
    writer = MarkdownTableWriter(
        table_name="write a table with margins",
        headers=["int", "float", "str", "bool", "mix", "time"],
        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"],
        ],
        margin=1  # add a whitespace for both sides of each cell
    )
    writer.write_table()

if __name__ == "__main__":
    main()

Output:

# write a table with margins
| 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 GitHub Flavored Markdown (GFM) table

If you set flavor keyword argument of MarkdownTableWriter class to "github" or "gfm", the writer will output markdown tables with GitHub flavor. GFM can apply some additional styles to tables such as fg_color (text color).

Sample Code:

from pytablewriter import MarkdownTableWriter
from pytablewriter.style import Style

writer = MarkdownTableWriter(
    column_styles=[
        Style(fg_color="red"),
        Style(fg_color="green", decoration_line="underline"),
    ],
    headers=["A", "B"],
    value_matrix=[
        ["abc", 1],
        ["efg", 2],
    ],
    margin=1,
    flavor="github",
    enable_ansi_escape=False,
)
writer.write_table()

Rendered results can be found at here

Apply styles to GFM table with programmatically

Applying style filters to GFM allows for more flexible style settings for cells. See also the example

Write a Markdown table to a stream or a file

Refer an example

Write a table to an Excel sheet

Sample Code:

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:

Output excel file (sample_single.xlsx)

Write a Unicode table

Sample Code:

from pytablewriter import UnicodeTableWriter

def main():
    writer = UnicodeTableWriter(
        table_name="example_table",
        headers=["int", "float", "str", "bool", "mix", "time"],
        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:

┌───┬─────┬────┬─────┬────────┬────────────────────────┐
│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 as ptw


def main():
    writer = ptw.JavaScriptTableWriter(
        table_name="js_variable",
        headers=["int", "float", "str", "bool", "mix", "time"],
        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:

const js_variable = [
    ["int", "float", "str", "bool", "mix", "time"],
    [0, 0.1, "hoge", true, 0, "2017-01-01 03:04:05+0900"],
    [2, -2.23, "foo", false, null, "2017-12-23 45:01:23+0900"],
    [3, 0, "bar", true, Infinity, "2017-03-03 33:44:55+0900"],
    [-10, -9.9, "", "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:

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(dataframe=df)
    writer.write_table()

if __name__ == "__main__":
    main()

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|

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

Sample Code:

import pandas as pd
import pytablewriter as ptw

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

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

Write a Markdown table from space-separated values

Sample Code:

import pytablewriter as ptw


def main():
    writer = ptw.MarkdownTableWriter(table_name="ps")
    writer.from_csv(
        """
        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:

# 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:

import pytablewriter as ptw


def main():
    writer = ptw.MarkdownTableWriter(
        headers=["int", "float", "str", "bool", "mix", "time"],
        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:

|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 for each column by column_styles attribute of writer classes.

Sample Code:

import pytablewriter as ptw
from pytablewriter.style import Style


def main():
    writer = ptw.MarkdownTableWriter(
        table_name="set style by column_styles",
        headers=[
            "auto align",
            "left align",
            "center align",
            "bold",
            "italic",
            "bold italic ts",
        ],
        value_matrix=[
            [11, 11, 11, 11, 11, 11],
            [1234, 1234, 1234, 1234, 1234, 1234],
        ],
        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=","),
        ],  # specify styles for each column
    )
    writer.write_table()


if __name__ == "__main__":
    main()

Output:

# 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

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

Sample Code:

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:

# 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

You can apply styles to specific cells by using style filters. Style filters will be written as Python functions. Examples of a style filter function and how you apply it are as follows:

Sample Code:

from typing import Any, Optional

from pytablewriter import MarkdownTableWriter
from pytablewriter.style import Cell, Style


def style_filter(cell: Cell, **kwargs: Any) -> Optional[Style]:
    if cell.is_header_row():
        return None

    if cell.col == 0:
        return Style(font_weight="bold")

    value = int(cell.value)

    if value > 80:
        return Style(fg_color="red", font_weight="bold", decoration_line="underline")
    elif value > 50:
        return Style(fg_color="yellow", font_weight="bold")
    elif value > 20:
        return Style(fg_color="green")

    return Style(fg_color="lightblue")


writer = MarkdownTableWriter(
    table_name="style filter example",
    headers=["Key", "Value 1", "Value 2"],
    value_matrix=[
        ["A", 95, 40],
        ["B", 55, 5],
        ["C", 30, 85],
        ["D", 0, 69],
    ],
    flavor="github",
    enable_ansi_escape=False,
)
writer.add_style_filter(style_filter)
writer.write_table()

Rendered results can be found at here

Theme

Theme <https://pytablewriter.readthedocs.io/en/latest/pages/reference/theme.html#pytablewriter.style.Theme> consists of a set of style filters. The following command will install external predefined themes:

pip install pytablewriter[theme]

Themes can be set via the constructor of the writer classes or the set_theme method. The following is an example of setting the altrow theme via the constructor. altrow theme will be colored rows alternatively:

Sample Code:

import pytablewriter as ptw

writer = ptw.TableWriterFactory.create_from_format_name(
    "markdown",
    headers=["INT", "STR"],
    value_matrix=[[1, "hoge"], [2, "foo"], [3, "bar"]],
    margin=1,
    theme="altrow",
)
writer.write_table()

Output:

[theme] extras includes the following themes:

• pytablewriter-altrow-theme

  • Generated HTML table example

• pytablewriter-altcol-theme

  • Generated HTML table example

Make tables for specific applications

Render a table on Jupyter Notebook

All table writer class instances in pytablewriter can render in Jupyter Notebook. To render writers at notebook cells, you will require the dependency packages to be installed either by:

• pip install pytablewriter[html] or

• pip install pytablewriter[all]

Jupyter Notebook code examples can be found here:

Table rendering results of Jupyter Notebook

Multibyte character support

Write a table using multibyte character

You can use multibyte characters as table data. Multibyte characters are also properly padded and aligned.

Sample Code:

import pytablewriter as ptw


def main():
    writer = ptw.RstSimpleTableWriter(
        table_name="生成に関するパターン",
        headers=["パターン名", "概要", "GoF", "Code Complete[1]"],
        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:

Output of multi-byte character table

Multiprocessing

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 using main guarded as follows to avoid problems caused by multi-processing:

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

Dependencies

• Python 3.9+

• Python package dependencies (automatically installed)

Optional dependencies

• logging extras

  • loguru: Used for logging if the package installed

• from extras

  • pytablereader

• es extra

  • elasticsearch

• excel extras

  • xlwt

  • XlsxWriter

• html extras

  • dominate

• sqlite extras

  • SimpleSQLite

• theme extras

  • pytablewriter-altrow-theme

  • pytablewriter-altcol-theme

• toml extras

  • toml

Documentation

https://pytablewriter.rtfd.io/

Projects using pytablewriter

• pytest-md-report

Related Projects

• pytablereader

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

Sponsors

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