moorepants’s gists

moorepants / trip.csv

Created September 3, 2012 15:46

Northwest US, Canada, Euro Roadtrip Costs

moorepants / peak_steer_rate.py

Created September 11, 2012 19:45

Generates a histogram showing the peak steer rates in my the UCD biycle id data.

	from canonicalbicycleid.canonical_bicycle_id import select_runs
	import bicycledataprocessor as bdp
	import matplotlib.pyplot as plt

	riders = ['Charlie', 'Jason', 'Luke']
	maneuvers = ['Balance',
	'Track Straight Line',
	'Balance With Disturbance',
	'Track Straight Line With Disturbance']
	environments = ['Horse Treadmill', 'Pavillion Floor']

moorepants / gilbert_whipple.py

Created September 11, 2012 19:49

Gilbert's method of generating the bicycle equations of motion.

	from sympy import *
	from sympy.physics.mechanics import *

	print('Calculation of Linearized Bicycle \"A\" Matrix, with States: Roll, Steer, Roll Rate, Steer Rate')

	Vector.simp = False
	mechanics_printing()

	q1, q2, q4, q5 = dynamicsymbols('q1 q2 q4 q5')
	q1d, q2d, q4d, q5d = dynamicsymbols('q1 q2 q4 q5', 1)

moorepants / sum_cols.R

Created September 12, 2012 18:56

Simple example of conditinal sum over columns of R

	d <- as.data.frame(replicate(10, rnorm(20)))
	# sum colums method 1
	colSums(d)
	# method 2
	apply(d, 2, sum)
	# now sum the columns only if the first column has values greater than 2
	colSums(subset(d, V1 > 2))
	# now sum if any column is greater than 0 on a per column basis
	condSum <- function(x){
	sum(x[x > 0])

moorepants / BodyFixed.all

Created October 10, 2012 05:05

Calculate the yaw, roll, pitch of the bicycle frame from the Vector Nav

	(1) % this code calculates the equations for the yaw, roll and pitch rates of the
	(2) % bicycle frame as functions of the body fixed rates measured by the VN-100
	(3) newtonian n
	(4) % y : yaw frame
	(5) % r : roll frame
	(6) % p : pitch frame
	(7) % v : vn-100 frame
	(8) frames y, r, p, v
	(9) motionvariables yaw', roll', pitch'
	(10) simprot(n, y, 3, yaw)

moorepants / col.py

Created December 3, 2012 07:25

Combine two gene files

	#!/usr/bin/env python

	# first open the two files and read their lines into lists
	f1 = open('file1.txt', 'r')
	f2 = open('file2.txt', 'r')
	lines1 = f1.readlines()
	lines2 = f2.readlines()
	f1.close()
	f2.close()

moorepants / jason-bicycle-parameters.ipynb

Created December 18, 2012 17:25

Computes the benchmark bicycle parameters for Jason sitting on the Davis rigid rider instrumented bicycle.

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moorepants / kalman-filter-test.ipynb

Created February 19, 2013 16:47

An attempt to make some sense of Tai's data.

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moorepants / tab-delimited.py

Last active September 1, 2020 16:41

Basic loading of tab delimited text files.

	# This section just builds a sample tab delimited file to work with, don't
	# worry too much about this code yet. Just have a look at the `test.txt` file
	# that it creates and checkout the following sections.

	x = range(10)
	funcs = [lambda x: x2, lambda x: x / 5.0, lambda x: x3, lambda x: x + 3]
	lines = 'x\tx^2\tx/5\tx^3\tx+3\n'
	for row in x:
	lines += str(row)
	for col in funcs:

moorepants / walking_least_squares

Last active December 21, 2015 01:18

Maths for transforming time series data of walking into a linear least squares form: Ax=b that can solve for the gains.

Jason K. Moore moorepants