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()
def reassignClusterIDs(src, dst):
"""
Given the cluster centers for two clusterings, determine the centers most
similar to each other and reassign the cluster ids to match.
"""
srcFCS = DataStore.getData()[src[0]]
dstFCS = DataStore.getData()[dst[0]]
srcdata = srcFCS.data
if srcFCS.selDims:
srcdata = dh.filterData(srcFCS.data, srcFCS.selDims)
srcids = srcFCS.clustering[src[1]]
srccenters = pc.clustercentroids(srcdata, clusterid=srcids)[0]
dstdata = dstFCS.data
if dstFCS.selDims:
dstdata = dh.filterData(dstFCS.data, dstFCS.selDims)
dstids = dstFCS.clustering[dst[1]]
dstcenters = pc.clustercentroids(dstdata, clusterid=dstids)[0]
srcsep = separate(srcdata, srcids)
dstsep = separate(dstdata, dstids)
centerEQ = {}
taken = []
# Fill the map with the closest source center for each destination center
for i,dc in enumerate(dstcenters):
bestDist = -1
for j,sc in enumerate(srccenters):
if (j not in taken):
dist = nonSymmetricClusterDistance(dstsep[i], srcsep[j])
if (bestDist < 0) or (dist < bestDist):
bestDist = dist
centerEQ[i] = j
taken.append(centerEQ[i])
# Renumber the cluster IDs in the destination to match the IDs of the closest src center
tmp = [centerEQ[id] for id in dstids]
DataStore.getData()[dst[0]].clustering[dst[1]] = tmp
def OnAnalyze(self, event):
"""
Handles all requests for analysis methods; built-in and plugins.
Currently, analysis methods expect data, a list of dimensions
available to use in analysis, and a window ref in order to
display a subwindow/dialog with results or options.
Analysis methods are expected to return data and/or a status
message. Currently returned data is only used when called from
code, not from the menu; which this method represents.
"""
if (DataStore.getCurrentDataSet() is not None):
strID = aMthds.strID(event.GetId())
self.statusbar.SetStatusText('Running %s...' % aMthds.AvailableMethods()[strID][2], 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)
args = {'parentWindow': self}
_, msg = aMthds.getMethod(strID)(data, **args)
self.statusbar.SetStatusText(msg, 0)