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Readme
Python pivot table (contingency tables) with sqlite3 backend.
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Change Log
v 0.5.2.2 - fix in anova1way tukey post-hoc comparisons. observed values were not calculated correctly when the number of comparisons did not match the number of observations. Most of the time would lead to conservative comparisons (N > # of comparisons)
v 0.5.2.1 - dumbed down the tick label formatting on scatter_matrix
v 0.5.2.0 - PyvtTbl.iter defaults to super now that getitem is working - when not indexing a single element PyvtTbl will always be at least 2-dimensional - made plotting API more consistent - extended test coverage - Everything now has at least some documentation
v 0.5.1.0 - Implemented PyvtTbl.getitem - PyvtTbl should always have >= 2 dimensions - Testing coverage for PyvtTbl slicing - More Sphinx documentation - Removed PyvtTbl.write
v 0.5.0.0 - NOT BACKWARDS COMPATIBLE WITH PREVIOUS PYPI RELEASES - Sphinx documentation
v 0.4.4.1 - Test coverage - DataFrame.row_iter iterator
v 0.4.4.0 - PyvtTbl inherents numpy.ma.MaskedArray - Implemented PyvtTbl.ndenumerate iterator
v 0.4.3.0 - DataFrame holds numpy.arrays and numpy.ma.arrays (masked arrays) - keys just have to be hashable (strings, tups, lists). Strings can contain special characters - No DataFrames.names() method - added DataFrames.get_sqltype() - added DataFrames.get_nptype() - nose testing - reorganized
v 0.4.2.0 - implemented scatter matrix plotting
v 0.4.1.0 - added Pyvttbl.to_dataframe method - fixed Anova so it can transform data in lists - fixed DataFrame.anova wrapper so 'SNK' can be specified as posthoc test
v 0.4.0.2 - fixed dependency issue with dictset and pystaggrelite3. - They should install automatically through easy_install.
v 0.4.0.1 - fixed issue 4 were column names or row labels could exceed pivot table with non-factorial data
v 0.4.0.0 - Finalized Tukey and SNK posthoc comparisons in Anova1way - Added posthoc power analyses in Anova, Anova1way, Ttest, ChiSquare1way, and ChiSquare2way
v 0.3.6.7 - fixed bug in anova.py that prevented output when subject variable was not 'SUBJECT' - fixed tick label issue with interaction_plot
v 0.3.6.6 - fixed bug with interaction_plots with subplots
... see repo
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FAQs
Multidimensional pivot tables, data processing, statistical computation
We found that pyvttbl demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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