pytablewriter
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.
- 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
- Microsoft Excel TM (
- Application-specific formats:
- 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
pip install pytablewriter
Some of the formats require additional dependency packages, you can install these packages as follows:
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 |
conda install -c conda-forge pytablewriter
sudo add-apt-repository ppa:thombashi/ppa sudo apt update sudo apt install python3-pytablewriter
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: |
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.
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
Applying style filters to GFM allows for more flexible style settings for cells. See also the example
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: |
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│
└───┴─────┴────┴─────┴────────┴────────────────────────┘
|
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"]
]; |
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|
|
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] |
|
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|
|
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**_|
|
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|
|
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 <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:
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]
orpip install pytablewriter[all]
Jupyter Notebook code examples can be found here:
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: |
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()
More examples are available at https://pytablewriter.rtfd.io/en/latest/pages/examples/index.html
logging
extras- loguru: Used for logging if the package installed
from
extras
es
extra
excel
extras
html
extras
sqlite
extras
theme
extras
toml
extras
https://pytablewriter.rtfd.io/
- pytablereader
- Tabular data loaded by
pytablereader
can be written another tabular data format withpytablewriter
.
- Tabular data loaded by