def clusteringInfo(fData, id):
"""
Creates a single string representing in a human-readable manner, the
options used to perform a particular clustering.
@type fData: FacsData
@param fData: A FacsData instance containing the specified clustering
@type id: int
@param id: The id of a clustering within the FacsData instance.
@rtype: str
@return: An easily understandable string representation of clustering options.
"""
from cluster.dialogs import getClusterDialog
dlg = getClusterDialog(fData.methodIDs[id], None)
strOpts, strValues = dlg.getStrMethodArgs()
dlg.Destroy()
opts = fData.clusteringOpts[id]
info = StringIO.StringIO()
# create info string
for opt in opts:
info.write(strOpts[opt])
info.write(': ')
if (opt in strValues):
info.write(strValues[opt][opts[opt]])
else:
info.write(opts[opt])
info.write('\n')
return info.getvalue()
def OnCluster(self, event):
"""
Handles all clustering requests.
Clustering requests are handled in the following method:
1. Passes the requested clustering method to
L{cluster.dialogs.ClusterOptionsDialog.showDialog} method
2. Passes the data and the returned method options to L{cluster.methods.cluster}
3. Passes the returned cluster membership list to the FacsPlotPanel for display
"""
dlg = cDlgs.getClusterDialog(event.GetId(), self)
if dlg.ShowModal() == wx.ID_OK:
if (DataStore.getCurrentDataSet() is not None):
self.statusbar.SetStatusText('Running %s clustering...' % cMthds.methods[event.GetId()][1], 0)
fcs = DataStore.getCurrentDataSet()
data = fcs.data
# Remove columns from analysis as specified by the user
if len(fcs.selDims) > 0:
data = dh.filterData(data, fcs.selDims)
clusterIDs, msg = cMthds.cluster(event.GetId(), data, **dlg.getMethodArgs())
DataStore.addClustering(event.GetId(), clusterIDs, dlg.getMethodArgs())
clusteringIndex = DataStore.getCurrentDataSet().clustering.keys()[-1]
self.statusbar.SetStatusText(msg, 0)
if (dlg.isApplyChecked()):
if self.facsPlotPanel.SelectedSubplotIndex is not None:
self.facsPlotPanel.CurrentSubplot = dv.Subplot(self.facsPlotPanel.SelectedSubplotIndex,
DataStore.getCurrentIndex(), clusteringIndex)
self.facsPlotPanel.draw()
else:
self.facsPlotPanel.addSubplot(DataStore.getCurrentIndex(), clusteringIndex)
self.treeCtrlPanel.updateTree()
dlg.Destroy()