Scatter plot in matlab with example code
MATLABSolutions demonstrate Scatter plot in matlab with example codes. In this video we attempt to build scatter plots. Scatter( x , y ) creates a scatter plot with circular markers at the locations specified by the vectors x and y . To plot one set of coordinates, specify x and y as vectors of equal length. To plot multiple sets of coordinates on the same set of axes, specify at least one of x or y as a matrix.
Abstract
scatter(a, b): This function will help us to make a scatter plot graph with circles at the specified locations of 'a' and 'b' vector mentioned in the function. Such type of graphs are also called as 'Bubble Plots'
scatter(x,y)
The scatter(x,y) function creates a scatter plot on the location specified by the input vectors x and y. By default, the scatter() function uses circular markers to plot the given data. For example, let's use the scatter() function to create a scatter plot of given data. The data stored in the variables x and y is used to create a scatter plot in the output. Make sure the length of the variable x and y should be the same. Otherwise, MATLAB will show an error. By default, the scatter() function uses the default value for the size and color of the circles, but we can change the default properties of the function. For example, to change the size of the circles, we have to define the size of the circles as a third argument inside the scatter() function. For example, let's change the size of the circles in the plot.
The size of the circles in the output is different as compared with the size of circles in the previous scatter plot. The size should be a positive numeric value or a vector of the same size as the input vectors x and y. If the size is a single positive numeric value, just like in the code, it will apply to all the circles present in the scatter plot. We can also give each circle a different size value using a vector of the same length as the input vectors x and y. For example, let's change the size of each circle in the scatter plot.each circle has a different size. We can also alter the color of the circles in the scatter plot by passing it as a fourth argument in the scatter(). The colorbar command is used in the code to plot a color bar in the scatter plot. We can see from the color bar that the low values belong to the colder color, and the high values belong to the hotter color. We used a vector with positive numeric values in example, but we can also use a matrix with RGB triplet values. The circles are hollow in the scatter plots, but we can also fill them using the filled property inside the scatter() function
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