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. The colorbar command is used in the above code to plot a color bar in the scatter plot. For example, let’s change the color of each circle in the above scatter plot. The matrix can contain positive numeric values or RGB triplets of colors. We can also give each circle a different color by using a matrix of the same size as the input vectors x and y. If we define only one color value, it will be applied to all the circles present in the scatter plot. We can also change the color by passing the color name as a string in the scatter() function. In the above scatter plot, the color of the circles is black, but we can give it any color by entering that color’s RGB value as a fourth argument in the scatter() function.
For example, let’s change the color of the circles in the above scatter plot to black. We can also alter the color of the circles in the scatter plot by passing it as a fourth argument in the scatter() function. In the above output, each circle has a different size. For example, let’s change the size of each circle in the above 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. If the size is a single positive numeric value, just like in the above code, it will apply to all the circles present in the scatter plot. The size should be a positive numeric value or a vector of the same size as the input vectors x and y.
The size of the circles in the above output is different as compared with the size of circles in the previous scatter plot. For example, let’s change the size of the circles in the above plot. 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. 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. Make sure the length of the variable x and y should be the same. The data stored in the variables x and y is used to create a scatter plot in the output. For example, let’s use the scatter() function to create a scatter plot of given data. By default, the scatter() function uses circular markers to plot the given data. The scatter(x,y) function creates a scatter plot on the location specified by the input vectors x and y. Create a Scatter Plot Using the scatter() Function in MATLAB This tutorial will discuss creating a scatter plot using the scatter() function in MATLAB.
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