![]() The most common are png, svg, postscript or LaTeX output, but first we will start with the output just on the screen using the wxWidgets toolkit. Therefore open a text file in your preferred text editor, or directly download the code for this tutorial.įirstly we have to tell gnuplot the output terminal we want to use. xlabel() function allows to label the x axis.In this tutorial you will create your first gnuplot figure.Output: Plotting Filled Polygons using fill function in Matlab fill(x,y,colorspec)- fills 2-D polygons specified by X and Y with the color specified by colorspec explained in earlier section.fill(x1,y1,c1….xN,yN,cN)- specifies multiple 2-D filled areas. ![]() fill(x,y,)-Creates filled polygons from the data specified by x and y with color c.The vertices are listed along with the color to be filled. Output: Plotting Data using scatter function in Matlabįor plotting filled polygons we may use fill() function. Y=rand(50,1) # make sure that x and y equal length vectors scatter(….,markertype)-use the marker type instead of ‘0’.scatter(x,y,s)-draws markers with specified sizewith single color.scatter(x,y)-draws the markers in default size and color.So instead of using plot function we can directly use scatter function In this data may be some points in a plane. We can plot our data using scatter () function. Output: Pie Chart using pie function in Matlab pie(x,explode)-Offsets a slice from the pie.explode is a vector or matrix of zeroes and non zeroes corresponding to x.pie(x)- draws a pie chart with the data in x.Pie() function helps us to plot the pie chart of our data. Output: Histogram usinghist function in Matlab Piechart Hist(x,5) # returns the distribution of x in 5 length bin n=hist(y,nbins) – Here nbins is scalar and uses it as number of binsĮg : x=rand(1000,1) # rand function generates nxn matrix rand(m,n) generates mxn square matrix.n=hist(y,x)- Where x is a vector, returns the distribution of y along length (x) bins with centers specified by x.n=hist(y) – Bins the elements in vector y into 10 equally spaced containers and returns the number of elements in each container as a row vector.Hist() function helps us to plot the histogram. MATLAB also helps us to plot Histogram and Pie chart. Output: Plotting Function in Red Dashed Line with equal Axis – Matlab Histogram and Pie Chart line() function allows us to join the line after data points are plotted.axis equal function allows us to make the axes equal.Output: Plotting Function in Red Dashed Line – Matlab There are 3 ways with which you can specify color Color Specifications of plot funtion in Matlab Available colors are red, blue, magenta, black, white, green, yellow, cyanĬolorspec is a method of specifying colors.Syntax: plot ( x, y,’color or line style or data points’)Įg : plot (x, y,’r*–‘) # A red dotted plot is obtained. We can have a third argument in the plot function. For quick and simple editing we don’t have to deal with plottools. This might be handy for the people who are always get bored dealing with the menu box in plottools. To change the characteristics of the plot we can use plottools function. A box will pop up showing your output, we can change change the characteristics there like color, plot type.Output : Output of plot function in Matlab – Plotting 2 Functions at a Time linspace(a,b,n) – generates n linearly spaced vectors including a,b.linspace(a, b) – generates 100 linearly spaced vectors.linspace is an inbuilt function which generates equally spaced vectors.Ouput : Output of plot function in Matlab plot(x1,y1,linespace….xN,yN,linespace)-plots y versus x along with line specificationĮg : x= linspace(0,10*pi,5) # linspace is not line specification it is used to generate linearly spaced vectors.plot(x1,y1,…….xN,yN) – plots y versus x.For complex y it is equivalent to plot (real (y),img(y)) plot(y)-plots the columns of y versus the index of each value when y is a real number.In this case we need to specify the functions for x and y separately .Here we use a function plot () in MATLAB library Output: Output of fplot function in Matlab Using plot()
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