def plotTraces(
plotType, label, traces, title, metadata, layoutOptions, suffix =None
):
suffix = '' if not suffix else ('-' + suffix)
url = plotly.plot(
filename=PlotlyUtils.getPlotlyFilename(
filename='{}{}'.format(label.replace(' ', '-'), suffix),
folder=PLOTLY_FOLDER),
figure_or_data=plotlyGraph.Figure(
data=plotlyGraph.Data(traces),
layout=_getLayout(
metadata=metadata,
title=title, **layoutOptions)),
auto_open=False)
print('{}[{}]: {}'.format(plotType, label, PlotlyUtils.toEmbedUrl(url)))
def plotComparison(df, key, label, binCount):
xMin = df[key].min()
xMax = df[key].max()
count = df.shape[0]
test = np.histogram(
a=df[key].values,
bins=np.linspace(xMin, xMax, 512))
cdf = 100.0*np.cumsum(test[0])/float(count)
for i in range(len(cdf)):
if cdf[i] >= 98.0:
xMax = test[1][i]
break
areaTraces = []
xValues = np.linspace(xMin, xMax, 64)
areaValues = np.zeros(len(xValues) - 1)
histTraces = []
bins = np.linspace(xMin, xMax, int(binCount))
index = 0
for sizeClass in PlotConfigs.SIZE_CLASSES:
color = sizeClass['color']
dataSlice = df[
(df['width'] >= sizeClass['range'][0]) &
(df['width'] < sizeClass['range'][1] )]
sliceCountLabel = locale.format(
'%d', int(dataSlice.shape[0]), grouping=True)
histValues = np.histogram(a=dataSlice[key].values, bins=bins)
histTraces.append(plotlyGraph.Bar(
name='%s (%s)' % (sizeClass['name'], sliceCountLabel),
x=100.0*histValues[1],
y=histValues[0],
marker=plotlyGraph.Marker(color=color) ))
histValues = np.histogram(a=dataSlice[key].values, bins=xValues)
values = 100.0*(dataSlice.shape[0] - np.cumsum(histValues[0]))/count
areaValues = np.add(areaValues, values)
areaTraces.append(plotlyGraph.Scatter(
name='%s (%s)' % (sizeClass['name'], sliceCountLabel),
x=100.0*histValues[1],
y=areaValues,
mode='lines',
fill='tozeroy' if index < 1 else 'tonexty',
line=plotlyGraph.Line(
width=1.0,
color=color) ))
index += 1
countLabel = locale.format('%d', count, grouping=True)
data = plotlyGraph.Data(histTraces)
layout = plotlyGraph.Layout(
title='Distribution of Track %s Deviations (%s Tracks)' % (
label, countLabel),
barmode='stack',
xaxis=plotlyGraph.XAxis(
title='Deviation (%)'),
yaxis=plotlyGraph.YAxis(
title='Frequency',
autorange=True))
url = plotly.plot(
filename=PlotlyUtils.getPlotlyFilename(
filename='%s' % label.replace(' ', '-'),
folder=PLOTLY_FOLDER),
figure_or_data=plotlyGraph.Figure(data=data, layout=layout),
auto_open=False)
print(
'COMPARE|HIST[%s]' % label,
'x:(%s, %s)' % (xMin, xMax),
PlotlyUtils.toEmbedUrl(url))
expected = []
for x in xValues:
expected.append(100.0*(1.0 - (norm.cdf(x) - norm.cdf(-x))))
areaTraces.append(plotlyGraph.Scatter(
name='Normal Threshold',
x=100.0*xValues,
y=expected,
mode='lines',
line=plotlyGraph.Line(
color='rgba(0, 0, 0, 0.75)',
dash='dash',
width=1.0) ))
data = plotlyGraph.Data(areaTraces)
layout = plotlyGraph.Layout(
title=('Inverse Cumulative Distribution of Track ' +
'%s Deviations (%s Tracks)') % (label, countLabel),
xaxis=plotlyGraph.XAxis(
title='Deviation (%)',
range=[100.0*xMin, 100.0*xMax],
autorange=False),
yaxis=plotlyGraph.YAxis(
title='Cumulative Remainder (%)',
range=[0, 100],
autorange=False))
url = plotly.plot(
filename=PlotlyUtils.getPlotlyFilename(
filename='%s-cdf-remainder' % label.replace(' ', '-'),
folder=PLOTLY_FOLDER),
figure_or_data=plotlyGraph.Figure(data=data, layout=layout),
auto_open=False)
print(
'COMPARE|AREA[%s]' % label,
'x:(%s, %s)' % (xMin, xMax),
PlotlyUtils.toEmbedUrl(url))
