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Graphic and text stem-and-leaf plots

Project description

stemgraphic

Overview

John Tukey’s stem-and-leaf plot first appeared in 1970. Although very useful back then, it cannot handle more than 300 data points and is completely text-based. Stemgraphic is a very easy to use python package providing a solution to these limitations (no size limit, graphical tool). It also supports categorical and text as input.

A typical stem_graphic output:

stem_graphic example

For an in depth look at the algorithms and the design of stemgraphic, see

Stemgraphic: A Stem-and-Leaf Plot for the Age of Big Data

Documentation is available as pdf stemgraphic.pdf and online html.

The official website of stemgraphic is: http://stemgraphic.org

See also: Are you smarter than a fifth grader?

Installation

Stemgraphic requires docopt, matplotlib and pandas. Optionally, having Scipy installed will give you secondary plots and Dask (see requirements_dev.txt for all needed to run all the functional tests) will allow for out of core, big data visualization.

Installation is simple:

pip3 install -U stemgraphic

or from this cloned repository, in the package root:

python3 setup.py install

Latest changes

Version 0.8.1

  • command line output improved: description of data more elaborate

  • leaf_scatter plot added

  • stem_text support for flip_axes

  • stem_dot support flip_axes

  • stem_dot defaults marker to unicode circle

  • added support for dot for command line stem (stem -t dot)

Version 0.7.5

  • Bugfix for issue 12, -0 stem not showing in certain cases

Version 0.7.4

  • Bugfix for stem_text with plain list (df and numpy are ok)

Version 0.7.2

  • Bugfix for secondary plot calculation

Version 0.7.0

  • Made Levenshtein module optional

  • Small Multiples support

Version 0.6.2

  • Bugfix for VERSION

Version 0.6.1

  • back-to-back stem-and-leaf plots can use predefined axes (secondary ax added)

  • added quantize function (basically a round trip number->stem-and-leaf->number))

  • density_plot added for numerical values with stem-and-leaf quantization and sampling

  • density_plot also support multiple secondary plots like box, violin, rug, strip

  • notebook demoing density_plot

  • notebook demoing comparison of violin, box and stem-and-leaf for certain distributions

Version 0.6.0

Version bump to 0.6 due to order of params changing. Shouldn’t affect using named args

Major code change and expansion for num.stem_graphic including: - back-to-back stem-and-leaf plots - allows comparison of very skewed data - bug fix (rounding issue) due to python precision - better stem handling - alpha down to 10% for bars - median alpha can be specified - stems can be hidden - added title option, besides the legend

Other changes: - More notebook examples - added leaf_skip, stem_skip to a few functions missing them - heatmap_grid bugfix - added reverse to a few functions missing it - improved documentation - matrix_difference ord param added added - ngram_data now properly defaults to case insensitive - switched magenta to ‘C4’ - compatible with mpl styles now - functions to read/write .npy and .pkl files - more unicode typographical glyphs added to the list of non alpha

Version 0.5.3

  • scatter 3d support

  • added 3rd source to compare (in 3d) with scatter plots

  • more scatter plot fixes

  • some warnings added to deal with 3d and log scale issues

  • added fig_xy to scatter - useful to quickly adjust figsize in a notebook

  • added normalize, percentage and whole (integer) to scatter

  • added alpha to scatter

Version 0.5.2

  • added documentation for scatter plots

  • added jitter to scatter plots

  • added log scale to scatter plots

  • more notebooks

Version 0.5.1

  • stem_text legend fix

  • missed adding the code for scatter plots

  • more notebooks

Version 0.5.0

Major new release.

  • All 0.4.0 private changes were merged

  • new module stemgraphic.alpha:

  • n-gram support

  • stem_graphic supporting categorical

  • stem_graphic supporting text

  • stem_text supporting categorical

  • stem_text supporting text

  • stem command line supporting categorical when column specified

  • heatmap for n-grams

  • heatmap grid to compare multiple text sources

  • Frobenius norm on diff matrices

  • radar plot with Levenshtein distance

  • frequency plot (bar, barh, hist, area, pie)

  • sunburst char

  • interactive charts with cufflinks

  • new module stemgraphic.num to match .alpha

  • stop word dictionaries for English, Spanish and French

  • Massively improved documentation of modules and functions

  • Improved HTML documentation

  • Improved PDF documentation

Version 0.4.0

Internal release for customer.

  • Added Heatmap

  • Basic PDF documentation

  • Quickstart notebook

Version 0.3.7

Matploblib 2.0 compatibility

Version 0.3.6

  • Persist sample from command line tool (-k filename.pkl or -k filename.csv).

  • Windows compatible bat file wrapper (stem.bat).

  • Added full command line access to dask distributed server (-d, -s, use file in ‘’ when using glob / wildcard).

  • For operations with dask, performance has been increased by 25% in this latest release, by doing a compute once of min, max and count all at once. Count replaces len(x).

Added the companion PDF as it will be presented at PyData Carolinas 2016.

TODO

  • multivariate support

  • provide support for secondary plots with dask

  • automatic dense layout

  • add a way to provide an alternate function to the sampling

  • support for spark rdds and/or sparkling pandas

  • create a bokeh version. Ideally rbokeh too.

  • add unit tests

  • add feather, hdf5 etc support, particularly on sample persistence

  • more charts

  • more examples

Project details


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