pytablewriter 0.52.0

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 / YAML.

pytablewriter

• Summary

  • Features

• Examples

  • Write tables

  • Get rendered tabular text as str

  • Configure table styles

  • Style filter

  • Make tables for specific applications

  • Multibyte character support

  • Multi processing

  • Create Elasticsearch index and put data

  • For more information

• Installation

  • Install from PyPI

  • Install from PPA (for Ubuntu)

• Dependencies

  • Optional dependencies

  • Test dependencies

• Documentation

• Related Project

• Tasks

Summary

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 / YAML.

Features

• Write a table in various formats:

  • Text formats:

    • CSV / Tab-separated values (TSV)

    • CSS

    • 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

    • TOML

    • YAML

    • Unicode

  • Binary file formats:

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

    • SQLite database

  • Application specific formats:

    • Elasticsearch

• Automatic tabular data formatting

  • Alignment

  • Padding

  • Decimal places of numbers

• Configure cell styles:

  • Text/Background color

  • Text alignment

  • Font size/weight

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

• Configure output:

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

  • Get rendered tabular text

• Data source

  • nested list

  • CSV

  • pandas.DataFrame

  • pandas.Series

  • etc.

• Multibyte character support

• ANSI color support

Examples

Write tables

Write a Markdown table

Sample Code:

from pytablewriter import MarkdownTableWriter

def main():
    writer = 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()

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 a margin

Sample Code:

from pytablewriter import MarkdownTableWriter

def main():
    writer = 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()

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 reStructuredText table (Grid Tables)

Sample Code:

import pytablewriter

def main():
    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()

if __name__ == "__main__":
    main()

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

def main():
    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()

if __name__ == "__main__":
    main()

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:

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()
    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()

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 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()
    writer.from_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
from pytablewriter import MarkdownTableWriter

def main():
    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()

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:

from textwrap import dedent
import pytablewriter

def main():
    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()

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

def main():
    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())

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

Writers can specify cell Style for each column manually by column_styles attribute of writer classes.

Sample Code:

from pytablewriter import MarkdownTableWriter
from pytablewriter.style import Style

def main():
    writer = MarkdownTableWriter()
    writer.table_name = "set style by column_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.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=","),
    ]

    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

Example:

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

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

def main():
    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()

if __name__ == "__main__":
    main()

Output:

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.

Create Elasticsearch index and put data

Sample Code:

import datetime
import json

from elasticsearch import Elasticsearch
import pytablewriter as ptw

def main():
    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))

if __name__ == "__main__":
    main()

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"
}

For more information

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

Installation

Install from PyPI

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]

• Install all of the optioanal dependencies

  • pip install pytablewriter[all]

Install from PPA (for Ubuntu)

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

Dependencies

Python 3.5+

• DataProperty

• mbstrdecoder

• msgfy

• pathvalidate

• tabledata

• tcolorpy

• typepy

Optional dependencies

• loguru

  • Used for logging if the package installed

• pytablereader

• simplejson

• Elasticsearch:

  • elasticsearch

• Excel

  • xlwt

  • XlsxWriter

• HTML

  • dominate

• SQLite

  • SimpleSQLite

• TOML

  • toml

Test dependencies

• pytest

• tox

Documentation

https://pytablewriter.rtfd.io/

Related Project

• pytablereader

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

Tasks

https://trello.com/b/kE0XG34y