contour

问题 I am trying to code a tool that automatically identifies and alphabetically sorts the images based on equipment number (19-V1083AI). I used the pytesseract library to convert the image to a string after the contours of the equipment label were identified. Although the code runs correctly, it never outputs the equipment number. It's my first time using the pytesseract library and the goodFeaturesToTrack function. Any help would be greatly appreciated! Original Image: import numpy as np import

问题 i am struggling in trying to splot a nonuniform binary matrix from a datafile1, and plot over it a contour of another variable, over the same grid but another datafile. Both the datafiles are in binary matrix shape. # CONTOUR SETTINGS set contour surface set cntrparam level discrete 0.3,0.067 # PRINT CONTOUR ON TABLE set table 'tablefile_contour' splot 'contour_variable_field_binary' binary with l lt -1 unset table # FIELD SPLOT set view map; splot 'field_to_be_plotted_2D_binary' binary with

问题 i am struggling in trying to splot a nonuniform binary matrix from a datafile1, and plot over it a contour of another variable, over the same grid but another datafile. Both the datafiles are in binary matrix shape. # CONTOUR SETTINGS set contour surface set cntrparam level discrete 0.3,0.067 # PRINT CONTOUR ON TABLE set table 'tablefile_contour' splot 'contour_variable_field_binary' binary with l lt -1 unset table # FIELD SPLOT set view map; splot 'field_to_be_plotted_2D_binary' binary with

问题 I need to find the volume from the surface down to a specific contour in R. Taking the contour example from the R help files: x <- 10*1:nrow(volcano) y <- 10*1:ncol(volcano) contour(x,y,volcano) given the resulting graph, how do I find the volume from a specific contour line up to the surface. In practice, I will use bkde2D to get a density map for a scatter plot. From this I can make the contour plot, but I would like to determine the volume defined by various density cutoffs in the

问题 I need to find the volume from the surface down to a specific contour in R. Taking the contour example from the R help files: x <- 10*1:nrow(volcano) y <- 10*1:ncol(volcano) contour(x,y,volcano) given the resulting graph, how do I find the volume from a specific contour line up to the surface. In practice, I will use bkde2D to get a density map for a scatter plot. From this I can make the contour plot, but I would like to determine the volume defined by various density cutoffs in the

问题 This question/answer pair shows how to extract vertices from contour plot: p = cs.collections[0].get_paths()[0] v = p.vertices x = v[:,0] y = v[:,1] But how to get the value (i.e z for an elevation model) for each path? 回答1: There's no direct way, but cs.collections is in the exact same order as cs.levels (which is the "z" values you're after). Therefore, it's easiest to do something like: lookup = dict(zip(cs.collections, cs.levels)) z = lookup[line_collection_artist] As a quick interactive

问题 I'm trying to do something similar to this 3D example from the docs, but with a point cloud instead of a smooth surface. The example projects 2D contours onto each of the three coordinate planes. This shows that I'm able to do that onto the xy-plane. When I try doing the same onto the other two planes, I get either a weird contour collapsed down to a thin strip, or an exception way beyond my reach in the bowels of matplotlib . Traceback (most recent call last): File ".../matplotlib/backends

问题 I'm trying to do something similar to this 3D example from the docs, but with a point cloud instead of a smooth surface. The example projects 2D contours onto each of the three coordinate planes. This shows that I'm able to do that onto the xy-plane. When I try doing the same onto the other two planes, I get either a weird contour collapsed down to a thin strip, or an exception way beyond my reach in the bowels of matplotlib . Traceback (most recent call last): File ".../matplotlib/backends

问题 I am getting margin on the left and right of the first subplot (please look at the image I have included at the end of the post) of the contour which I do no understand. Moreover, I can not position correctly the colorbar in the second plot. How can I fix the code? def bern(theta, z, N): """Bernoulli likelihood with N trials and z successes.""" return np.clip(theta**z * (1-theta)**(N-z), 0, 1) def bern2(theta1, theta2, z1, z2, N1, N2): """Bernoulli likelihood with N trials and z successes."""

问题 I am using the plotly package in R to draw a surface plot and a contour plot: # Load package library(plotly) # Simulate the data for plotting x <- y <- seq(from = 0, to = 100, by = 1) z1 <- outer(X = x, Y = y, FUN = function(x, y) x^0.2 * y^0.3) # data for surface plot # Draw surface plot (3D) plotly::plot_ly(z = z1) %>% plotly::add_surface( contours = list( z = list( show = TRUE, usecolormap = TRUE, highlightcolor = "#ff0000", project = list(z = TRUE) ) ) ) # Draw contour plot (2D) plot_ly(z