def makeTrackwayWeightedBoxTrace(trackwayRow, values, uncertainties, **kwargs):
dd = DensityDistribution.fromValuesAndUncertainties(
values=values,
uncertainties=uncertainties)
values = dd.getDistributionPoints(2048)
normality = trackwayRow['Normality'].values \
if trackwayRow is not None \
else -1
color = getNormalityColor(normality, 'g', 'r')
color.opacity = 0.5
return plotlyGraph.Box(
boxpoints=False,
name=trackwayRow['Name'].values,
y=values,
fillcolor=color.webRGBA,
boxmean=False,
line=plotlyGraph.Line(
color=color.webRGBA,
width=1),
marker=plotlyGraph.Marker(
size=1,
color=color.webRGBA) )
def getDensityDistributionTrace(data, columnName, errorColumnName, **kwargs):
minVal = (data[columnName] - 3.0*data[errorColumnName]).min()
maxVal = (data[columnName] + 3.0*data[errorColumnName]).max()
values = []
for index, row in data.iterrows():
values.append(NumericUtils.toValueUncertainty(
value=row[columnName],
uncertainty=row[errorColumnName] ))
dd = DensityDistribution(values=values)
xValues = np.linspace(minVal, maxVal, 200)
yValues = dd.createDistribution(xValues)
return plotlyGraph.Scatter(
x=xValues,
y=yValues,
**kwargs), dd
def makeHistograms(label, columnName, errorColumnName, tracks):
index = 0
histTraces = []
densityTraces = []
xStart = tracks[columnName].min()
xEnd = tracks[columnName].max()
sites = tracks.site.unique()
for site in sites:
index += 1
color = PlotConfigs.SITE_SPECS[site]['color']
siteSlice = tracks[tracks.site == site]
histTraces.append(plotlyGraph.Histogram(
name=site,
x=siteSlice[columnName],
autobinx=False,
xbins=plotlyGraph.XBins(
start=xStart,
end=xEnd,
size=0.01),
xaxis='x1',
yaxis='y%s' % int(index),
marker=plotlyGraph.Marker(color=color) ))
distributionValues = []
for i, row in siteSlice.iterrows():
distributionValues.append(NumericUtils.toValueUncertainty(
value=row[columnName],
uncertainty=row[errorColumnName]))
dd = DensityDistribution(values=distributionValues)
xValues = dd.getAdaptiveRange(10)
yValues = dd.createDistribution(xValues=xValues, scaled=True)
densityTraces.append(plotlyGraph.Scatter(
name=site,
x=xValues,
y=yValues,
xaxis='x1',
yaxis='y%s' % int(index),
mode='lines',
fill='tozeroy',
marker=plotlyGraph.Marker(color=color) ))
fig = plotlyTools.make_subplots(
rows=len(sites), cols=1,
shared_xaxes=True,
print_grid=False)
fig['data'] += plotlyGraph.Data(histTraces)
fig['layout'].update(title='%s Distributions by Tracksite' % label)
url = plotly.plot(
filename='A16/%s-Distributions' % label.replace(' ', '-'),
figure_or_data=fig,
auto_open=False)
print('HISTOGRAM[%s]:' % label, PlotlyUtils.toEmbedUrl(url))
fig = plotlyTools.make_subplots(
rows=len(sites), cols=1,
shared_xaxes=True,
print_grid=False)
fig['data'] += plotlyGraph.Data(densityTraces)
fig['layout'].update(
title='%s Distributions by Tracksite' % label,
xaxis1=plotlyGraph.XAxis(
autorange=False,
range=[xStart, xEnd]))
url = plotly.plot(
filename='A16/%s-Kernel-Distributions' % label.replace(' ', '-'),
figure_or_data=fig,
auto_open=False)
print('KERNEL-DENSITY[%s]:' % label, PlotlyUtils.toEmbedUrl(url))
