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Description:
pytablereader 0.31.4
pytablereader
Summary
Features
Examples
Load a CSV table
Get loaded table data as pandas.DataFrame instance
For more information
Installation
Install from PyPI
Install from PPA (for Ubuntu)
Dependencies
Optional Python packages
Optional packages (other than Python packages)
Documentation
Related Project
Sponsors
Summary
pytablereader is a Python library to load structured table data from files/strings/URL with various data format: CSV / Excel / Google-Sheets / HTML / JSON / LDJSON / LTSV / Markdown / SQLite / TSV.
Features
Extract structured tabular data from various data format:
CSV / Tab separated values (TSV) / Space separated values (SSV)
Microsoft Excel TM file
Google Sheets
HTML (table tags)
JSON
Labeled Tab-separated Values (LTSV)
Line-delimited JSON(LDJSON) / NDJSON / JSON Lines
Markdown
MediaWiki
SQLite database file
Supported data sources are:
Files on a local file system
Accessible URLs
str instances
Loaded table data can be used as:
pandas.DataFrame instance
dict instance
Examples
Load a CSV table
Sample Code:
import pytablereader as ptr
import pytablewriter as ptw
# prepare data ---
file_path = "sample_data.csv"
csv_text = "\n".join([
'"attr_a","attr_b","attr_c"',
'1,4,"a"',
'2,2.1,"bb"',
'3,120.9,"ccc"',
])
with open(file_path, "w") as f:
f.write(csv_text)
# load from a csv file ---
loader = ptr.CsvTableFileLoader(file_path)
for table_data in loader.load():
print("\n".join([
"load from file",
"==============",
"{:s}".format(ptw.dumps_tabledata(table_data)),
]))
# load from a csv text ---
loader = ptr.CsvTableTextLoader(csv_text)
for table_data in loader.load():
print("\n".join([
"load from text",
"==============",
"{:s}".format(ptw.dumps_tabledata(table_data)),
]))
Output:
load from file
==============
.. table:: sample_data
====== ====== ======
attr_a attr_b attr_c
====== ====== ======
1 4.0 a
2 2.1 bb
3 120.9 ccc
====== ====== ======
load from text
==============
.. table:: csv2
====== ====== ======
attr_a attr_b attr_c
====== ====== ======
1 4.0 a
2 2.1 bb
3 120.9 ccc
====== ====== ======
Get loaded table data as pandas.DataFrame instance
Sample Code:
import pytablereader as ptr
loader = ptr.CsvTableTextLoader(
"\n".join([
"a,b",
"1,2",
"3.3,4.4",
]))
for table_data in loader.load():
print(table_data.as_dataframe())
Output:
a b
0 1 2
1 3.3 4.4
For more information
More examples are available at
https://pytablereader.rtfd.io/en/latest/pages/examples/index.html
Installation
Install from PyPI
pip install pytablereader
Some of the formats require additional dependency packages, you can install the dependency packages as follows:
Excel
pip install pytablereader[excel]
Google Sheets
pip install pytablereader[gs]
Markdown
pip install pytablereader[md]
Mediawiki
pip install pytablereader[mediawiki]
SQLite
pip install pytablereader[sqlite]
Load from URLs
pip install pytablereader[url]
All of the extra dependencies
pip install pytablereader[all]
Install from PPA (for Ubuntu)
sudo add-apt-repository ppa:thombashi/ppa
sudo apt update
sudo apt install python3-pytablereader
Dependencies
Python 3.7+
Python package dependencies (automatically installed)
Optional Python packages
logging extras
loguru: Used for logging if the package installed
excel extras
excelrd
md extras
Markdown
mediawiki extras
pypandoc
sqlite extras
SimpleSQLite
url extras
retryrequests
pandas
required to get table data as a pandas data frame
lxml
Optional packages (other than Python packages)
libxml2 (faster HTML conversion)
pandoc (required when loading MediaWiki file)
Documentation
https://pytablereader.rtfd.io/
Related Project
pytablewriter
Tabular data loaded by pytablereader can be written another tabular data format with pytablewriter.
Sponsors
Become a sponsor
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
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