![]() The pcolor function is a useful means of visualizing the contents of the colormap. Unless you need to generate parametric grids or need to have control over the spacing of the color cells, it is often advantageous, in terms of rendering speed, to use image instead of pcolor. The surface object created by pcolor(C) will have the same number of vertices as the number of color cells that an image object created with image(C). It is useful to identify the similarities between the pcolor and image graphics functions by comparing the graphics objects that they create. However, when the shading is interpolated (i.e., the FaceColor property is set to "interp"), a bilinear color interpolation between the four vertices of each quadrilateral is performed. When the surface is being displayed in the default "faceted" shading, the color in the ith row and jth column is determined by the element C(i,j). The actual color of each quadrilateral, as with all surface objects, is determined by scaling the CData values with the color axis limits to an index to the color map. ![]() If vectors x and y are supplied, the length of x must correspond to the number of columns in C and the length of y must correspond to the number of rows. However, you may specify the x- and y-axis components of the vertex coordinates with pcolor(x,y,C) or pcolor(X,Y,C). You need only specify the vertice colors such as with pcolor(C). This function’s syntax is very similar to the syntax used by surf, except that you do not supply the z-axis coordinates of the vertices. By default, the FaceColor of this surface object is faceted. This graphics function creates a surface object in which the ZData elements are set to zero and displays the plot in a perspective which makes it appear as if you are looking directly down on the surface (i.e., view()). The Pseudocolor PlotĪ pseudocolor plot (sometimes referred to as a checkerboard plot) can be created with the pcolor function. If the width is less than the height of the axes object, the bar will be labeled vertically otherwise, the colorbar will be labeled horizontally. Where axes_object_handle is the axes object that will contain the color bar. Then pass the graphics handle of that axes object to the colorbar function with If you require even more flexibility in the placement of the color bar, create and store the handle of an axes object in the desired position for the color bar. You can also tell MATLAB to generate the color bar below the figure of interest by using Here we discuss an introduction to Matlab Plot Colors, along with color code table and respective examples.Figure 8.17 A color bar allows easier association of color to value. There could be instances when we have to plot multiple functions in a single plot, in such cases, colors become very handy to differentiate between different functions. MATLAB can be used to plot our data for visualizing and intuitively understanding it. Observe in the output that we have obtained a scatter plot of red color, as passed by us in the input argument. Observe in the code that we have passed pre-defined color code for red as an argument (Please refer to the table at the end of the article for pre-defined color codes) ![]() For this example, we will scatter plot of red color
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