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pytablewriter 1.2.0
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
Themes 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 3.7+
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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