Summary

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

Features

• Write a table in various formats:

  • CSV

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

  • HTML

  • JSON

  • Labeled Tab-separated Values (LTSV)

  • Markdown

  • MediaWiki

  • Source code

    • Pandas (Definition of a DataFrame variable)

    • Python code (Definition of a nested list variable)

    • JavaScript (Definition of a nested list variable)

  • reStructuredText: Grid Tables/Simple Tables/CSV Table

  • Tab-separated values (TSV)

  • 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

Write a Markdown table

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()

# 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

Write a reStructuredText table (Grid Tables)

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()

.. 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)

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()

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

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

Write a table using multibyte character

You can use multibyte character as table data.

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()

Write a table from pandas.DataFrame instance

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()

 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

For more information

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

Test dependencies

• pytablereader

• pytest

• pytest-runner

• tox