pytablewriter
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/arrayenvironment - Markdown: GitHub Flavored Markdown (GFM), etc.
- 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/.xlsfile format) - SQLite database
- Microsoft Excel TM (
- Application specific formats:
- 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: |
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: |
|
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: |
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
Column styles
Writers can specify
Style
for each column 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**_|
|
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
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: |
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 problemes 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
Installation
Installation: pip
pip install pytablewriter
Some of the formats require additional dependency packages, you can install these packages as follows:
- Elasticsearch
pip install pytablewriter[es7]orpip install pytablewriter[es6]
- 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]
Installation: apt
sudo add-apt-repository ppa:thombashi/ppa sudo apt update sudo apt install python3-pytablewriter
Dependencies
Python 3.5+
Optional dependencies
- loguru
- Used for logging if the package installed
- pytablereader
- Elasticsearch:
- Excel
- HTML
- SQLite
- TOML
Documentation
https://pytablewriter.rtfd.io/
Projects using pytablewriter
Related Projects
- pytablereader
- Tabular data loaded by
pytablereadercan be written another tabular data format withpytablewriter.
- Tabular data loaded by




