Hi,
I’m looking for a way to make the bars in a histogram selectable and link them to a data source.
What I want to do is the following:
I have a lot of different plots all on the same Data Source, so all are linked.
I also have a DataTable linked to the same source.
Inside that source there are a lot of columns with binary values which are not plotted.
Those collumns should be presented in a Histogram. If one bar of the Histogram is pressed all points that for example have value ‘1’ in that column should get selected in all plots as well as the Data Table.
And does anyone know a way to speed up opening the html?
I have about 90 plots, 300 points each and it takes about 2-4 minutes.
Here is some code which already does anythoing apart from linking the histograms and making them selectable.
Thanks, Tom
def init(self,xlsmPath):
#…
self.plotAll()
tabs =
p = layout.gridplot(self.__plots,ncols=4)
stat = layout.gridplot(self.__statPlots,ncols=4)
w = layout.WidgetBox(self.carSelect)
columns =
for i in range (1,self.__FirstColumn+self.__MaxNumParam):
columns.append(TableColumn(field=self.__desc[1,i], title=self.__desc[1,i]))
data_table = layout.WidgetBox(DataTable(source=self.view, columns=columns,width=5000, height=5000, sortable=True,scroll_to_selection=True))
tabs.append(Panel(child=p,title = ‘All’))
for i in range(0,self.__MaxNumParam):
collayout=layout.gridplot(self.__columnPlots[i],ncols=1)
tabs.append(Panel(child=collayout, title = (self.__desc[1,self.__FirstColumn+i])))
tabs.append(Panel(child=stat,title = ‘Statistics’))
tabs.append(Panel(child=data_table,title = ‘Result Table’))
tabs = Tabs(tabs=tabs,width=1000)
q=layout.layout([[w],[tabs]])
show(q)
def plotAll(self):
self.carRange = ColumnDataSource()
self.colNames = ColumnDataSource()
index=0
for elem in self.__carData:
self.rowArea(index) # now begin and end should be set
self.carRange.add([self.__begin,self.__end], name=str(elem[0]))
self.carmenu.append(elem[0])
index+=1
self.colNames.add([self.__MaxNumParam], name=‘length’)
index = 0
for i in range(0,self.__MaxNumParam):
self.colNames.add((self.__desc[1,self.__FirstColumn+i]), name=str(i))
index+=1
hover = HoverTool(
tooltips=[
(“index”, “$index”),
(“(x,y)”, “($x, $y)”),
])
TOOLS = “box_select,lasso_select,tap,wheel_zoom,reset,hover”
self.datadict = dict()
for i in range(1,self.__FirstColumn+self.__MaxNumParam):
self.datadict[(self.__desc[1,i])]=self.__data[:,i][0:self.__MaxNumRows]
self.source= ColumnDataSource(data=self.datadict)
self.view = ColumnDataSource(data=self.datadict)
index=0
for i in range(0,self.__MaxNumParam):
for j in range(i+1,self.__MaxNumParam):
self.__plots.append(figure(tools=TOOLS,plot_width=400, plot_height=400,
title=None, toolbar_location=“below”,webgl=True,name=‘circle’+str(i*j)))
self.__plots[index].scatter((self.__desc[1,self.__FirstColumn+i]),(self.__desc[1,self.__FirstColumn+j]),source=self.view)
self.__plots[index].xaxis.axis_label = (self.__desc[1,self.__FirstColumn+i])
self.__plots[index].yaxis.axis_label = (self.__desc[1,self.__FirstColumn+j])
hover = self.__plots[index].select(dict(type=HoverTool))
hover.tooltips = [
(“index”, “$index”),
(“(x,y)”, “($x, $y)”),
]
#select_tool = self.__plots[index].select(dict(type=BoxSelectTool))
p=self.__plots[index]
self.view.callback = CustomJS(args=dict(p=p,source=self.view), code=“”"
var inds = cb_obj.get(‘selected’)[‘1d’].indices;
var d1 = cb_obj.get(‘data’);
var text = ‘’;
var datatext = ‘’;
for (i = 0; i < inds.length; i++) {
text = text.concat(inds[i]+‘||’);
datatext = datatext.concat(‘Point ‘+inds[i]+’ ||’);
}
“”"
)
index+=1
self.__columnPlots.append()
colindex = 0
for k in range(0,self.__MaxNumParam):
if i != k:
self.__columnPlots[i].append(figure(tools=TOOLS,plot_width=900, plot_height=400,
title=None, toolbar_location=“below”,webgl=True,name=‘test’+str(i*k)))
self.__columnPlots[i][colindex].scatter((self.__desc[1,self.__FirstColumn+i]),(self.__desc[1,self.__FirstColumn+k]),source=self.view)
self.__columnPlots[i][colindex].xaxis.axis_label = (self.__desc[1,self.__FirstColumn+i])
self.__columnPlots[i][colindex].yaxis.axis_label = (self.__desc[1,self.__FirstColumn+k])
hover = self.__columnPlots[i][colindex].select(dict(type=HoverTool))
hover.tooltips = [
(“index”, “$index”),
(“(x,y)”, “($x, $y)”),
]
colindex += 1
#TODO statistics (now its time for some Barcharts)
for i in range(2,self.__FirstColumn):
self.__statPlots.append(Histogram(self.datadict[self.__desc[1,i]], title=self.__desc[1,i]))
self.__statPlots[i-2].xaxis.axis_label = (self.__desc[1,i])
self.__statPlots[i-2].add_tools(bokeh.models.TapTool())
self.carSelect = Select(title=“Choose Car:”, options=self.carmenu)
self.carSelect.callback = CustomJS(args=dict(rangeData=self.carRange,source=self.source,view=self.view,colNames=self.colNames), code=“”"
var select = cb_obj.get(‘value’);
var viewData = view.get(‘data’);
var sourceData = source.get(‘data’);
var colNameData = colNames.get(‘data’);
var range = rangeData.get(‘data’)[select];
var numCols = parseInt(colNameData[‘length’]);
for (i = 0; i < numCols; i++) {
viewData[colNameData[i.toString()]]=sourceData[colNameData[i.toString()]].slice(range[0],range[1]);
}
view.trigger(‘change’);
“”"
)
print 'Number of plots: ',
print index
``
