I hereby claim:
- I am roban on github.
- I am robanhk (https://keybase.io/robanhk) on keybase.
- I have a public key whose fingerprint is 22BD E895 8940 7BBC EEA1 CD3B FE6E A1BB 6A0E 3E55
To claim this, I am signing this object:
"""Routines related to plotting 2D distributions of parameters. | |
The core of this module is plot2Ddist, which plots a two-dimensional | |
distribution with 1D marginal histograms along each axis and optional | |
features like contours and lines indicating ranges and true values. | |
""" | |
import itertools | |
import math |
# first create a list of frames, perhaps by running: | |
# ls -tr *.JPG > frames.txt | |
# Now run mencoder to make the move. I adapted the configuration from | |
# http://blog.hugochinchilla.net/2011/09/time-lapse-videos-mencoder/ | |
# playback at 15 frames per second | |
mencoder -nosound -ovc lavc -lavcopts vcodec=mpeg4:mbd=2:trell:autoaspect:vqscale=3 -vf scale=1920:1440 -mf type=jpeg:fps=15 mf://@frames.txt -o time_lapse.avi | |
# playback at 30 frames per second |
sudo -s "echo -n 250 > /sys/devices/platform/i8042/serio1/serio2/sensitivity" |
# paste this into an "ipython --pylab" session | |
# You'll need EnrichPy: http://roban.github.com/EnrichPy/ | |
import enrichpy.lifetime | |
mass = logspace(-1,4,300) | |
tlife = enrichpy.lifetime.main_sequence_life_K97(mass) | |
plot(mass, tlife) | |
xscale('log') | |
yscale('log') | |
xlabel('mass (solar masses)') | |
ylabel('stellar lifetime (years)') |
# `convert` is part of Image Magick http://www.imagemagick.org | |
# The command below scales the images to 500 pixels (in some dimension), | |
# imposes a delay of 60/100ths of a second between frames, and loops indefinitely. | |
# The "-layers optimize" option reduces the final file size by optimizing the GIF frames, with a difference threshold | |
# controlled by the "-fuzz" parameter. | |
convert -fuzz 2% -layers optimize -scale 500 -delay 60 -loop 0 -verbose IMG_*.JPG animation.gif |
def copy_traces(db1, dbname, dbclass, traceclass, **kwargs): | |
"""Copy traces from a db to a new db. | |
""" | |
db = dbclass(dbname=dbname, dbmode='w', **kwargs) | |
db._initialize({}, 1) | |
db.trace_names = db1.trace_names | |
db.chains = 1 | |
# Create the Traces. | |
for name, trace in db1._traces.iteritems(): | |
db._traces[name] = traceclass(name=name, value={0:trace[:]}, db=db) |
<html> | |
<head> | |
<title>Swimlane using d3.js</title> | |
<script type="text/javascript" src="http://mbostock.github.com/d3/d3.v2.js"></script> | |
<script type="text/javascript" src="randomData.js"></script> | |
<style> | |
.chart { | |
shape-rendering: crispEdges; | |
} |
I hereby claim:
To claim this, I am signing this object:
import pylab | |
import numpy | |
import pymc | |
import matplotlib.patches | |
from mpl_toolkits.axes_grid1 import make_axes_locatable | |
import scipy.stats | |
def frac_inside_poly(x,y,polyxy): | |
"""Calculate the fraction of points x,y inside polygon polyxy. | |
2023-06-06 at IAS