overlap

问题 There were a lot of questions posted regarding labels overlap for pie chart plotting. However, I couldn't find automated solution except for converting them to the legend. This solution doesn't work for me as I have a lot of values (around 60), and conversion to a legend will make the plot look very messy and unclear. So my question, if I want to label pie wedges around the pie, is the any automated solution for MatPlotLib version 2.0.2 that enables labels to have a good spacing (no

问题 I have a few rooms which are placed randomly so I have to check if a room is overlapping. The rooms have a size of 10x10 and are for test reasons placed exactly side by side (they don't overlap in the scene). The Floor is a Transform which consists out of 1 or more Transforms (in this case out of one square but for other forms it it could be 2 or more). To check if they are overlapping I have this function which doesn't work. Debug log is always something between 3 and 61.. public bool

问题 When you look at the graph above you can easily see that the arrowhead from a->b overlaps the node b. The tip of the arrowhead should stop right before the b node box, like it is the case in c->d. The code that produces this result is: digraph{ node[shape="box"] a->b[color=blue, penwidth=20] c->d[color=blue] } The layout engine in use is the "dot" Layout Engine. 回答1: headclip (and tailclip) causes the center of the pen drawing the edge to stop when crossing the imaginary line drawn by the

问题 Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 3 years ago . Improve this question do you know any ready-to-use method to obtain length and also overlap of two strings? However only with R , maybe something from stringr ? I was looking here, unfortunately without succes. str1 <- 'ABCDE' str2 <- 'CDEFG' str_overlap(str1, str2) 'CDE' str_overlap

问题 Short summary: Im trying to figure out how to calculate overlap between two functions. One is a gaussian, the other is a kernel density, based on data. Then, I would like to make a small algorithm that choose the mean and variance for the gaussian, which maximises overlap Firstly, needed imports: import numpy as np import matplotlib.pyplot as plt import seaborn as sns from scipy.stats.kde import gaussian_kde import scipy I have some data which is approximately normal (somewhat heavy right

问题 I am working on a handwriting application on iOS. I found the sample project "GLPaint" from iOS documentation which is implemented by OpenGL ES, and I did something modification on it. I track the touch points and calculate the curves between the points and draw particle images alone the curve to make it looks like where the finger passby. glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR); glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA, width, height, 0, GL_RGBA, GL_UNSIGNED_BYTE,

问题 I am working on a handwriting application on iOS. I found the sample project "GLPaint" from iOS documentation which is implemented by OpenGL ES, and I did something modification on it. I track the touch points and calculate the curves between the points and draw particle images alone the curve to make it looks like where the finger passby. glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR); glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA, width, height, 0, GL_RGBA, GL_UNSIGNED_BYTE,

问题 In python3, I am faced to 2 issues using the tool GetDist tool to produce triplot of covariance matrix. 1) Currently, I can plot 2 covariance matrixes on the same figure by only one call of the plotting function (triangle_plot). Specifying as first input the list of covariance matrix to plot is enough to have the (1 sigma,2 sigma) contours of each matrix. Here an example of triplot produced by 2 covariance matrixes (filled area correspond to 1 sigma confidence level (68%) and shaded to 2

问题 I’m currently working on an image registration algorithm which uses aerial imagery. My objective is to compute the percentage of overlap between two images as shown below. Visually the images have about 50% overlap, I'm using OpenCV following this implementation and this formula, the registered images are warped making it's implementation tricky. A similar implementation with a different formula can be found here. Are there any simpler workarounds to just find a rough estimate of the overlap?

问题 I've been struggling to find a solution to find the area of overlap between two curves. I'm not dealing with probability density functions with known parameters but curves obtained from smoothing of empirical data points. The only hint I found is to calculate the area that is not over-lapping as in this code (from here): x <- seq(-6,6,by = 0.01) y1 <- dnorm(x,0,1) y2 <- pnorm(x,1,1.1) f1 <- approxfun(x, y1-y2) f2 <- function(z) abs(f1(z)) dif <- integrate(f2, min(x), max(x)) plot(x,y1,type="l