Data Visualization and Report Building
Project description
PyBloqs is a flexible framework for visualizing data and automated creation of reports.
It works with Pandas, matplotlib and highcharts. PyBloqs creates atomic blocks containing text, tables (from Pandas DataFrame), plots (matplotlib or highcharts) or images. All blocks can be styled with CSS. Each block can be created and displayed separately for fast development turnover. Lists of blocks can be stacked together to form reports. Reports can be displayed as HTML in the browser or exported in a variety of formats (including HTML, PDF, SVG, PNG).
Quickstart
Install PyBloqs
See the documentation for installation instructions.
Using PyBloqs
from pybloqs import Block, HStack, VStack import pandas as pd from matplotlib import pyplot as plt text_block = Block('This is a text block', styles={'text-align':'center', 'color':'blue'}) text_block.show() df = pd.DataFrame([[1., 2.],[3.,4.]], columns =['a', 'b']) table_block = Block(df) table_block.show() plot_block = Block(plt.plot(df['a'], df['b'])) plot_block.show() plot_and_table = HStack([plot_block, table_block]) report = VStack([text_block, plot_and_table]) report.show() report.save('report.pdf')
Configuration
You can specify per-user default parameters in a yaml-formatted file ~/.pybloqs.cfg. This config file allows you to setup a call setup and login sequence against an smtplib.SMTP object. The following works for Google gmail - more detailshere.
smtp_kwargs: host: smtp.gmail.com port: 587 smtp_pre_login_calls: - !!python/tuple - ehlo - {} - !!python/tuple - starttls - {} - !!python/tuple - ehlo - {} smtp_login: user: me@gmail.com password: a_secret public_dir: /tmp tmp_html_dir: /tmp user_email_address: me@gmail.com
Requirements
PyBloqs works with:
matplotlib
Pandas
html5lib
lxml
jinja2
markdown
beautifulsoup4
docutils
Acknowledgements
PyBloqs has been under active development at Man AHL since 2013.
Original concept and implementation: Tom Farnbauer
Contributors:
… and many others …
Contributions welcome!
License
PyBloqs is licensed under the GNU LGPL v2.1. A copy of which is included in LICENSE
Changelog
1.0.0 (2017-04-07)
Initial public release
1.0.1 (2017-04-13)
Integration with pypi and ReadTheDocs.
Installation on Mac and Windows.
1.0.2 (2017-04-26)
Metadata and badge for Python version.
Python 3 compatibility changes, part 1.
Installation with Coveralls.
1.0.3 (2017-04-26)
Bugfix: Import of urlparse corrected, fixes Block.show() .
1.1.0 (2017-05-10)
jQuery DataTables support.
HTML anchors.
Bugfix: Width of HTML-body no longer hard-coded.
1.1.1 (2017-05-10)
Bugfix: Static data including DataTables CSS.
1.1.2 (2017-06-2)
Bugfix: Image size for Matplotlib figure no longer truncated to whole number.
Updated download path for wkhtmltopdf in CI setup.
1.1.3 (2017-06-6)
Bugfix: Expansion of user home directory for show().
Bugfix: Flexible definition of default type handling for Block() that allows updating.
1.1.4 (2017-06-22)
Bugfix: When applying operator on rows or columns (e.g. in totals row), replace nan with zero.
1.1.5 (2017-08-22)
Bugfix: Multi-index formatter can now digest DataFrame with nun-unique multi-index.
Bugfix: ReadTheDocs autodoc build fixed.
1.1.6 (2017-08-23)
Bugfix: Unicode meta tag set in html output and unicode strings working wit Raw() block.
1.1.7 (2018-02-23)
Feature: More SMTP options
Feature: UTF-8 email mime-type
Feature: Allow BCC for email
1.1.8 (2018-03-26)
Bugfix: FmtHighlightText - explicitly set non-bold for column header
Feature: Add page break example to documentation
Bugfix: Pass apply_to_header_and_index to base class on all formatters
1.1.9 (2018-09-19)
Bugfix: Indexing error in table.html with non-unique indices
Bugfix: Removed Pandas warning in tests
Remove WidePanel, update ipynb
Feature: Add support for specifying different text colors for MultiIndex levels
Feature: Add a context manager for temporarily setting plot format/DPI
1.2.0 (2018-11-21)
Feature: Python 3 support
Feature: Support for Bokeh plots
Feature: Support for Plotly plots
Feature: Allow use of different HTML conversion backends
Feature: Added Chrome-headless backend for HTML->PDF conversion
Updated CircleCI configuration to version 2
1.2.1 (2018-11-23)
Bugfix: Removed pybloqs.plot import from top-level init.py
Bugfix: puppeteer.js now included in egg/wheel packaging
1.2.2 (2018-11-27)
Bugfix: Added missing formatter arg for wkhtmltox failure logging
1.2.3 (2018-12-03)
Bugfix: Ensured python2 strings were being correctly encoded
1.2.4 (2019-03-27)
Bugfix: Maintain static import ordering
1.2.5 (2019-06-25)
Bugfix: Totals Row formatter no longer inserts NaN for non-numeric columns.
1.2.6 (2019-07-17)
Feature: Passing kwargs to plotly plot function.
1.2.7 (2019-08-06)
Bugfix: Use require.js for Plotly and Highcharts inside Jupyter
Moved id_precision to user_config
Use tmp_html_dir everywhere
1.2.8 (2020-08-25)
Bugfix: Use colgroup tag for FmtHeader width specification
Bugfix: Do not merge MultiIndex cells if parent cells not merged
Bugfix: Pass actual header cell contents to formatter methods
Feature: Add ability to vertically merge MultiIndex labels
1.2.9 (2020-12-02)
Bugfix: Fix header positions when index is a MultiIndex
Bugfix: Fix MultiIndex styling
Feature: Add formatter for vertical-align
1.2.10 (2020-12-03)
Bugfix: Pass only single row name into formatter from jinja table template
1.2.11 (2020-12-03)
Bugfix: Stop MultiIndex flattening columns from being rendered
1.2.12 (2022-01-18)
Feature: Add CommonTableFormatter builder to configuring table formatting
Bugfix: Fix striped background for table formatting
Deprecate Python 2.7, make Python 3.6 minimum required version
1.2.13 (2022-01-25)
Bugfix: Fix output of Plotly blocks no longer showing in newer versions of Jupyter
Bugfix: Add static output to Bokeh and Plotly to enable sending within email body
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