def _dataframe_changed(self, old, new):
''' Handles how updates occur when dataframe changes. Evaluates if columns or columnlabels
have been changed. Provides entry condition as well.
Note: New automatically sets self.dataframe, so when I refer to new, I am actually
referring to self.dataframe. Using "new" instead of self.dataframe is just for readability'''
### Initialize plot first time dataframe is passed into the class. Boolean listeners
### for dataframe behave oddly, so uses self.plotdata for entry condition.
if not self.plotdata:
self.plotdata = PandasPlotData(df=new)
self.originaldata = new
### Try to infer plot title from dataframe name ###
try:
self.plot_title = new.name
except AttributeError:
pass
### Draw barebones of plot
self.draw_plot()
### Draw lines
self._draw_lines()
return
### Decide to update columns or completely redraw dataframe.
else:
labelold = self._getlabelarray(old)
labelnew = self._getlabelarray(new)
### Have columns been added or removed?
if len(labelold) != len(labelnew):
self._overwrite_plotdata
### Has index along primaryaxis changed any?
### Pandas index comparison is a bit tricky so just list conver
elif list(labelold) != list(labelnew):
self._overwrite_plotdata
else:
print 'updating frame'
self.plotdata.set_df(new)
def _overwrite_plotdata(self):
'''When a new instance of PandasPlotData is created, this overwrites the
data source and updates the axis values.'''
self.plotdata = PandasPlotData(dataframe=self.dataframe)
