Polar Histogram JCF Cracks
Dear all,
I am plotting the polar histogram of cracks obtained using JCF in an dense aggregate.
However the polar histogram I am obtaining is not distributed over 360º, but only from 90 to 270º.
Here is the MWS:
import pylab # the matlab-like interface of matplotlib
pylab.ioff()
import numpy
import os.path
with open("cracks_
lines = f.readlines()
lines = [l.split()[7:10] for l in lines]
lines = [[float(v) for v in l] for l in lines]
angles = []
for a in lines:
norm1=a[0]
norm2=a[1]
norm3=a[2]
angles.
pylab.hist(
# polar histogram
pylab.figure()
## prepare data
values,
## prepare polar plot
pylab.subplot(
## plot bar chart, with the histogram data
### bins has one edge extra, remove it: [:-1]
pylab.bar(
pylab.show()
Question information
- Language:
- English Edit question
- Status:
- Answered
- For:
- Yade Edit question
- Assignee:
- No assignee Edit question
- Last query:
- 2020-11-17
- Last reply:
- 2020-11-18
Jérôme Duriez (jduriez) said : | #1 |
Hi,
There is no reason to distinguish between n and -n for a contact normal. Polar representations spanning 180° are then just fine, you do need to cover the 360°.
PS: the "W" in "MWS" is obviously insincere ;-)
FileNotFoundError: [Errno 2] No such file or directory: 'cracks_shp.txt'
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