spline

Python. How to get the x,y coordinates of a offset spline from a x,y list of points and offset distance

北城余情 提交于 2021-01-20 20:10:05
问题 I need to make an offset parallel enclosure of an airfoil profile curve, but I cant figure out how to make all the points be equidistant to the points on the primary profile curve at desired distance. this is my example airfoil profile this is my best and not good approach EDIT @Patrick Solution for distance 0.2 回答1: You'll have to special-case slopes of infinity/zero, but the basic approach is to use interpolation to calculate the slope at a point, and then find the perpendicular slope, and

Python. How to get the x,y coordinates of a offset spline from a x,y list of points and offset distance

穿精又带淫゛_ 提交于 2021-01-20 20:07:26
问题 I need to make an offset parallel enclosure of an airfoil profile curve, but I cant figure out how to make all the points be equidistant to the points on the primary profile curve at desired distance. this is my example airfoil profile this is my best and not good approach EDIT @Patrick Solution for distance 0.2 回答1: You'll have to special-case slopes of infinity/zero, but the basic approach is to use interpolation to calculate the slope at a point, and then find the perpendicular slope, and

Interpreting and plotting piecewise lme regression (sjPlot)

久未见 提交于 2020-12-15 05:34:51
问题 I am running a LME (Linear Mixed-Effects regression) in R where the knot is determined by the time of diagnosis (t=0). So the model is now: lme(function ~ age+sex+timepre*marker+timepost*marker, random=~time|ID, data=data) Thus: timepre is where everything from t=0 is 0 and before that is 0-time, and timepost is where everything before diagnosis is 0 and afterwards is 0+time. The time is the combination of timepre and timepost. I now wanted to plot these effects using the sjPlot library as it

Fit curve to data, get analytical form, & check when curve crosses threshold

我与影子孤独终老i 提交于 2020-08-10 19:37:20
问题 I have 40 points for each curve and I would like to smooth the function and estimate when the curve crosses a threshold on the y axis. Is there a fitting function that I can easily apply this to, I can use interpolate to plot the new function but I can't figure out how to request the x value for which y = threshold. Unfortunately the curves don't all have the same shape so I can't use scipy.optimize.curve_fit. Thanks! Update: Adding two curves: Curve 1 [942.153,353.081,53.088,125.110,140.851

Fit curve to data, get analytical form, & check when curve crosses threshold

随声附和 提交于 2020-08-10 19:36:55
问题 I have 40 points for each curve and I would like to smooth the function and estimate when the curve crosses a threshold on the y axis. Is there a fitting function that I can easily apply this to, I can use interpolate to plot the new function but I can't figure out how to request the x value for which y = threshold. Unfortunately the curves don't all have the same shape so I can't use scipy.optimize.curve_fit. Thanks! Update: Adding two curves: Curve 1 [942.153,353.081,53.088,125.110,140.851

How to propagate error when using scipy quad on a spline of data with measurement error?

你说的曾经没有我的故事 提交于 2020-06-17 09:51:31
问题 I have a data set with N points which I fit a spline to and integrate using scipy.integrate.quad. I would like to use the N associated measurement errors to put an error estimate on the final integral value. I originally tried to use the uncertainties package but the x+/-stddev objects did not work with scipy. def integrand(w_point, x, y): #call spline function to get data arbitrary points f_i = spline_flux_full(x, y, w_point) #use spline for normalizing data at arbitrary points f_i_continuum