=======
Blume
=======
Better Looking Universal Matplotlib Engine.
Blume provides a replacement for the matplotlib table module.
Displaying data as tables in matplotlib.
It fixes a number of issues with the existing table and has:
* more reliable code for automatically setting the font size to make
best use of the space available.
* Padding between text and the cell edges which works better across a
range of text sizes.
* First row of cell data is now row 0 regardless of whether the table
has a row header. The row header is row -1.
* New options to allow cell edge colours to be specified.
To use the new table, just import `blume.table` and use that to
create your tables instead of the `matplotlib.table.table`.
::
from blume import table
tab = table(ax, ..)
The first parameter to table should be an *matplotlib.axes*.
If you are using the *pyplot* interface, note that calling
*pyplot.table* will use `matplotlib.table.table`.
Instead import table from blume and use as follows::
from blume.table import table
tab = table(plt.gca(), ...)
And lots more
=============
The general theme is how to create generic tools to explore tables of
data, visualising the data with *matplotlib*.
Tools that also help with managing open data.
For small datasets, there is an evolving example of working with
simple csv files, stored in a git repository. See `blume.examples.ocixx`.
Install
=======
From source code
----------------
Get the latest code::
git clone http://github.com/swfiua/blume
Instal::
python setup.py install
Using pip::
pip3 install blume
Examples
========
The *blume/examples* folder has a number of demonstrations of what can be
done with this table.
You can run these with python3:
python3 -m blume.example.cpr
Or you can run a folder full of examples by using `blume.eggshow`.
Requirements
============
The package will only require an *appropriate* version of matplotlib.
This is to make it easy for anyone who is only here for the table.
Universal
=========
The U in `blume`.
This for now is the `blume.cpr` module.
Testing
=======
Run tests using::
pytest tests
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"description": "=======\n Blume\n=======\n\nBetter Looking Universal Matplotlib Engine.\n\nBlume provides a replacement for the matplotlib table module.\n\nDisplaying data as tables in matplotlib.\n\nIt fixes a number of issues with the existing table and has:\n\n* more reliable code for automatically setting the font size to make\n best use of the space available.\n\n* Padding between text and the cell edges which works better across a\n range of text sizes.\n\n* First row of cell data is now row 0 regardless of whether the table\n has a row header. The row header is row -1.\n\n* New options to allow cell edge colours to be specified. \n\nTo use the new table, just import `blume.table` and use that to\ncreate your tables instead of the `matplotlib.table.table`.\n \n::\n\n from blume import table\n\n tab = table(ax, ..)\n\n\nThe first parameter to table should be an *matplotlib.axes*.\n\nIf you are using the *pyplot* interface, note that calling\n*pyplot.table* will use `matplotlib.table.table`.\n\nInstead import table from blume and use as follows::\n\n from blume.table import table\n tab = table(plt.gca(), ...)\n\n\nAnd lots more\n=============\n\nThe general theme is how to create generic tools to explore tables of\ndata, visualising the data with *matplotlib*.\n\nTools that also help with managing open data.\n\nFor small datasets, there is an evolving example of working with\nsimple csv files, stored in a git repository. See `blume.examples.ocixx`.\n\nInstall\n=======\n\nFrom source code\n----------------\n\nGet the latest code::\n\n git clone http://github.com/swfiua/blume\n\nInstal::\n\n python setup.py install\n\n\nUsing pip::\n\n pip3 install blume\n\n\nExamples\n========\n\nThe *blume/examples* folder has a number of demonstrations of what can be\ndone with this table.\n\nYou can run these with python3:\n\n python3 -m blume.example.cpr\n\nOr you can run a folder full of examples by using `blume.eggshow`.\n \n\nRequirements\n============\n\nThe package will only require an *appropriate* version of matplotlib.\n\nThis is to make it easy for anyone who is only here for the table.\n\n\nUniversal\n=========\n\nThe U in `blume`.\n\nThis for now is the `blume.cpr` module.\n\nTesting\n=======\n\nRun tests using::\n\n pytest tests\n\n\n",
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