Duplicated email, I answered to the previous one… we can continue the discussion there.
···
On Tue, May 27, 2014 at 5:48 AM, Thomas Rusche [email protected] wrote:
Hey,
how can you make a tolerance band around a graph?
My custom graph is a sinus curve from 0 to 2*pi (=12 round about)
I customized the brewer example from here: http://bokeh.pydata.org/docs/gallery/brewer.html
However the patches return not the same x range.
Where does the x2 come from? It is a fix name for whatever and comes out off nowwhere.
And why do I need to reverse one x-range?
However, how can I fit the patches to my curve? To check what the program does, i printed x2 and the list of areavalues.
The structure seems hard to understand, can’t this be done in a more simple way?
from collections import OrderedDict
import numpy as np
import pandas as pd
from bokeh.plotting import *
N = 100
pi = 3.14159
x = np.linspace(0,4*pi,N)
print x
y = np.sin(x)
line(x,y,color=“black”)
output_file(“sinus_tolerances.html”)
def markupToleranceArea(x, y, tolerance):
data = {}
N = len(y)
data[‘x’] = x
data[‘y’] = y
data[‘yLowerTol’] = y * (1-tolerance)
data[‘yUpperTol’] = y * (1+tolerance)
areas = OrderedDict()
markupFrom = data[‘yLowerTol’][::-1]
markupTo = data[‘yUpperTol’]
areas[‘markedUp’] = np.hstack((markupFrom, markupTo))
print len(areas[‘markedUp’])
for a in areas:
print x2
print list(areas.values())
hold(True)
line(x,y,color=“black”) #Graph, from which the tolerance should be plotted.
patches([x2 for a in areas], list(areas.values()), color=“lightgrey”, alpha=0.5, line_color=“grey”)
hold(False)
return areas
areas = markupToleranceArea(x,y,0.05)
show()
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