• Stars
    star
    602
  • Rank 74,409 (Top 2 %)
  • Language
    Python
  • License
    MIT License
  • Created over 8 years ago
  • Updated 9 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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.

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.

PyPI package version conda-forge package version Supported Python versions Supported Python implementations CI status of Linux/macOS/Windows Test coverage CodeQL

Features

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:
https://github.com/thombashi/pytablewriter/blob/master/docs/pages/examples/table_format/text/ss/markdown.png

Rendered markdown at GitHub

Write a Markdown table with a margin
Sample Code:
from pytablewriter import MarkdownTableWriter

def main():
    writer = MarkdownTableWriter(
        table_name="write example with a margin",
        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 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 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:
https://github.com/thombashi/pytablewriter/blob/master/docs/pages/examples/table_format/binary/spreadsheet/ss/excel_single.png

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 a 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 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

The following command will install external predefined themes:

pip install pytablewriter[theme]

theme argument of writer constructor or set_theme method can set"" predefined style filters. altrow theme will 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:
https://github.com/thombashi/pytablewriter-altrow-theme/blob/master/ss/ptw-altrow-theme_example_default.png

Themes can be created as plugins like as follows: https://github.com/thombashi/pytablewriter-altrow-theme

Make tables for specific applications

Render a table on Jupyter Notebook

https://nbviewer.jupyter.org/github/thombashi/pytablewriter/blob/master/examples/ipynb/jupyter_notebook_example.ipynb

https://github.com/thombashi/pytablewriter/blob/master/docs/pages/examples/jupyter_notebook/ss/jupyter_notebook.png

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:
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:
https://github.com/thombashi/pytablewriter/blob/master/docs/pages/examples/multibyte/ss/multi_byte_char.png

Output of multi-byte character table

Multi processing

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 to use 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

Optional dependencies

Documentation

https://pytablewriter.rtfd.io/

Projects using pytablewriter

Related Projects

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

Sponsors

Charles Becker (chasbecker) onetime: Arturi0 onetime: Dmitry Belyaev (b4tman)

Become a sponsor

More Repositories

1

sqlitebiter

A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.
Python
841
star
2

tcconfig

A tc command wrapper. Make it easy to set up traffic control of network bandwidth/latency/packet-loss/packet-corruption/etc. to a network-interface/Docker-container(veth).
Python
787
star
3

allpairspy

A python library for test combinations generator. The generator allows one to create a set of tests using "pairwise combinations" method, reducing a number of combinations of variables into a lesser set that covers most situations.
Python
258
star
4

pathvalidate

A Python library to sanitize/validate a string such as filenames/file-paths/etc.
Python
215
star
5

SimpleSQLite

SimpleSQLite is a Python library to simplify SQLite database operations: table creation, data insertion and get data as other data formats. Simple ORM functionality for SQLite.
Python
128
star
6

pytablereader

A Python library to load structured table data from files/strings/URL with various data format: CSV / Excel / Google-Sheets / HTML / JSON / LDJSON / LTSV / Markdown / SQLite / TSV.
Python
105
star
7

DateTimeRange

DateTimeRange is a Python library to handle a time range. e.g. check whether a time is within the time range, get the intersection of time ranges, truncate a time range, iterate through a time range, and so forth.
Python
102
star
8

pingparsing

pingparsing is a CLI-tool/Python-library parser and transmitter for ping command ↪️
Python
77
star
9

pytest-md-report

A pytest plugin to generate test outcomes reports with markdown table format.
Python
32
star
10

subprocrunner

A Python wrapper library for subprocess module.
Python
21
star
11

typepy

A Python library for variable type checker/validator/converter at a run time.
Python
17
star
12

humanreadable

humanreadable is a Python library to convert human-readable values to other units.
Python
16
star
13

DataProperty

A Python library for extract property from data.
Python
15
star
14

cleanpy

cleanpy is a CLI tool to remove caches and temporary files related to Python.
Python
13
star
15

sqliteschema

sqliteschema is a Python library to dump table schema of a SQLite database file.
Python
11
star
16

elasticsearch-faker

elasticsearch-faker is a CLI tool to generate fake data for Elasticsearch.
Python
11
star
17

tcolorpy

tcolopy is a Python library to apply true color for terminal text.
Python
11
star
18

ghscard

A JavaScript widget to generate interactive GitHub user/repository/organization cards for static web pages (like GitHub pages).
JavaScript
10
star
19

excelrd

excelrd is a modified version of xlrd to work for the latest Python versions.
Python
9
star
20

cmakew

cmakew is a CMake wrapper CLI tool.
Python
9
star
21

thank-you-stars

thank-you-stars is a CLI tool to stars to a PyPI package and its dependencies hosted on GitHub ⭐
Python
8
star
22

tabledata

tabledata is a Python library to represent tabular data.
Python
7
star
23

mbstrdecoder

Python library for multi-byte character string decoder.
Python
6
star
24

pytest-discord

A pytest plugin to notify test results to a Discord channel.
Python
5
star
25

tblfaker

tblfaker is a Python library to generate fake tabular data.
Python
5
star
26

CriterionSample

📔 Examples of Criterion (https://github.com/Snaipe/Criterion)
C
5
star
27

python-lib-project-template

A project template for a Python library with CI configurations
Python
5
star
28

envinfopy

envinfopy is a Python Library to get execution environment information.
Python
4
star
29

NFStest

NFStest mirror with command help wiki.
Python
4
star
30

readmemaker

A Python utility library to help make a README file from document files.
Python
4
star
31

retryrequests

A Python library that make HTTP requests with exponential back-off retry by using requests package.
Python
4
star
32

gtest-project-template

C++ test project template using Google Test.
C++
4
star
33

releasecmd

releasecmd is a release subcommand for setup.py (setuptools.setup). The subcommand create a git tag and push, and upload packages to PyPI.
Python
3
star
34

appconfigpy

A Python library to create/load an application configuration file.
Python
3
star
35

msgfy

msgfy is a Python library for convert Exception instance to a human-readable error message.
Python
3
star
36

python-cli-project-template

A project template for a Python CLI tool with CI configurations
Python
2
star
37

homebrew-sqlitebiter

Homebrew Formula for sqlitebiter
Ruby
2
star
38

docker-alias

Docker aliases and functions 🐳
Shell
2
star
39

universal-ctags-installer

Build and installation script for Universal Ctags
Shell
2
star
40

gh-upgrade

gh-upgrade is a gh extension that updates the gh and its extensions to the latest version.
Shell
2
star
41

docker-opengrok

Docker image for OpenGrok
Dockerfile
2
star
42

vscode-snippets

User defined snippets for Visual Studio Code
2
star
43

pytablewriter-altrow-theme

pytablewriter-altrow-theme is a pytablewriter plugin to provide a theme that colored rows alternatively.
Python
1
star
44

thutils

Personal python utility library (may delete in the future)
Python
1
star
45

install-gh

Simple one-liner installer of gh (cli/cli) from the release assets.
Shell
1
star
46

Connectathon_README

Connectathon test suite README
HTML
1
star
47

pathvalidate-cli

pathvalidate-cli is a command line interface for pathvalidate library. The tool can do sanitize/validate a string such as file-names/file-paths.
Python
1
star
48

PythonExamples

📔 Learning Python libraries by examples.
Jupyter Notebook
1
star
49

dotfiles

♻️ dotfiles
Python
1
star
50

df-diskcache

df-diskcache is a Python library for caching pandas.DataFrame objects to local disk.
Python
1
star
51

gh-git-describe

gh extension to execute `git describe` on a remote GitHub repository.
Go
1
star
52

list-sponsors

A CLI tool to list GitHub sponsors of a user/organization with specified format (markdown/html/rst).
Python
1
star
53

pre-commit-bin

Single executable binary packages of pre-commit/pre-commit
Shell
1
star
54

gh-update

gh-update is a gh extension that updates the gh to the latest version.
Shell
1
star