def genHex(df):
# Get bounds for graph
global checkList
colNames = list(df)
lowX = df[colNames[0]].quantile(0.01)
highX = df[colNames[0]].quantile(0.99)
lowY = df[colNames[1]].quantile(0.01)
highY = df[colNames[1]].quantile(0.99)
checkList = df.copy()
#print(df.index)
return hv.HexTiles(df, group="Number of events: " +
str(len(df.index))).redim.range(
ebeam=(lowX, highX),
ipm2=(lowY, highY)).opts(norm=dict(framewise=True))
def gen_hex(df):
"""
Return holoviews HexTiles plot
Parameters
----------
df: pandas.DataFrame
DataFrame containing data to be ploted on hextiles plot
"""
# Get bounds for graph
colNames = list(df)
lowX = df[colNames[0]].quantile(0.01)
highX = df[colNames[0]].quantile(0.99)
lowY = df[colNames[1]].quantile(0.01)
highY = df[colNames[1]].quantile(0.99)
return hv.HexTiles(df, group="Number of events: " +
str(len(df.index))).redim.range(
ebeam=(lowX, highX),
ipm2=(lowY, highY)).opts(norm=dict(framewise=True))
np.nanpercentile(lxt_fast, 99), 100))
except:
pass
#droppled sthots.
ana.addCut('lightStatus/xray', -0.5, 0.5, 'off')
ana.addCut('evr/code_137', -0.5, 0.5, 'hxroff')
if ana.getFilter('hxroff').sum() > ana.getFilter('off').sum():
offFilter = 'hxroff'
else:
offFilter = 'off'
nOff = ana.getFilter(offFilter).sum()
#plots.
ipmUpTime = hv.HexTiles((eventTimeR[ipmUpVar<np.nanpercentile(ipmUpVar,99)],
ipmUpVar[ipmUpVar<np.nanpercentile(ipmUpVar,99)]),
kdims=[eventTimeDim, ipmUpDim]).\
opts(cmap='Blues')
ipmUpTimeMed = hv.Points((eventTimeRMed, ipmUpMed), kdims=[eventTimeDim,ipmUpDim],label=ipmUpDim.label).\
options(color='r')
ipmDownTimeMed = hv.Points((eventTimeRMed, ipmDownMed), kdims=[eventTimeDim,ipmUpDim],label=ipmDownDim.label).\
options(color='m')
ipmTimeLayout = ipmUpTime * ipmUpTimeMed * ipmDownTimeMed
treeSel = (l3eVar > np.nanpercentile(l3eVar, 1))
treePlot = hv.HexTiles((l3eVar[treeSel], ipmUpVar[treeSel]),
kdims=[l3eDim, ipmUpDim])
ipmPlot = hv.HexTiles((ipmUpVar, ipmDownVar), kdims=[ipmUpDim, ipmDownDim])
ipmLayout = ipmPlot.hist(dimension=[ipmUpDim.name, ipmDownDim.name])
if scatterVar is not None: