Table analysis in Tkinter using pandas DataFrames.
Adds some miscellaneous improvements. Grouped plots now work better, see http://dmnfarrell.github.io/dataexplore/2017/07/05/grouped-plots. A datetime conversion dialog has been added as shown in http://dmnfarrell.github.io/dataexplore/2016/11/20/sea-ice-example.
This minor release adds experimental text annotation support. This allows the addition of arbitrary labels. see http://dmnfarrell.github.io/dataexplore/2016/02/19/annotations. Note that new releases mean .dexpl project files from older versions might not load properly.
This minor release provides updates to allow python 2.7 compatibility. An annotation tab has been added to the plot options to allow adding manual textbox or graphical objects manually later.
This release adds several new features. It updates the 3D plotting options so that they are all properly functional. It also adds the ability to create/change columns data using ranges or randomly generated from a distribution. You can now combine different kinds of plots together or from different tables in one plot using the grid layout option.
This release adds a simple plugin architecture to allow third party scripts to be easily added. A factor plotting plugin has been added using this method. This will be provided by default. The other major change is to allow table selections and properties to be saved with projects. Plots can therefore be re-loaded from the last selections and plot settings. Finally numpy functions can now be used in the function evaluation bar. Columns generated from functions are remembered so that you can keep track of how the data was made, a bit like a spreadsheet formula.
This release adds a model fitting interface based on the statsmodels library. This library will be an optional dependency. Other additions such as data cleaning are added that may be useful aids for fitting.
Adds working grouped plots, initial multiindex display and basic function evaluation.