help plot
PLOT Linear plot.
PLOT(X,Y) plots vector Y versus vector X. If X or Y is a matrix,
then the vector is plotted versus the rows or columns of the matrix,
whichever line up. If X is a scalar and Y is a vector, disconnected
line objects are created and plotted as discrete points vertically at
X.
PLOT(Y) plots the columns of Y versus their index.
If Y is complex, PLOT(Y) is equivalent to PLOT(real(Y),imag(Y)).
In all other uses of PLOT, the imaginary part is ignored.
Various line types, plot symbols and colors may be obtained with
PLOT(X,Y,S) where S is a character string made from one element
from any or all the following 3 columns:
b blue . point - solid
g green o circle : dotted
r red x x-mark -. dashdot
c cyan + plus -- dashed
m magenta * star (none) no line
y yellow s square
k black d diamond
w white v triangle (down)
^ triangle (up)
< triangle (left)
> triangle (right)
p pentagram
h hexagram
For example, PLOT(X,Y,'c+:') plots a cyan dotted line with a plus
at each data point; PLOT(X,Y,'bd') plots blue diamond at each data
point but does not draw any line.
PLOT(TBL,XVAR,YVAR) plots the variables xvar and yvar from the table
tbl. To plot one data set, specify one variable for xvar and one
variable for yvar. To plot multiple data sets, specify multiple
variables for xvar, yvar, or both. If both arguments specify multiple
variables, they must specify the same number of variables
PLOT(TBL,YVAR) plots the specified variable from the table against the
row indices in the table. If the table is a timetable, the specified
variable is plotted against the row times from the timetable.
PLOT(X1,Y1,S1,X2,Y2,S2,X3,Y3,S3,...) combines the plots defined by
the (X,Y,S) triples, where the X's and Y's are vectors or matrices
and the S's are strings.
For example, PLOT(X,Y,'y-',X,Y,'go') plots the data twice, with a
solid yellow line interpolating green circles at the data points.
The PLOT command, if no color is specified, makes automatic use of
the colors specified by the axes ColorOrder property. By default,
PLOT cycles through the colors in the ColorOrder property. For
monochrome systems, PLOT cycles over the axes LineStyleOrder property.
Note that RGB colors in the ColorOrder property may differ from
similarly-named colors in the (X,Y,S) triples. For example, the
second axes ColorOrder property is medium green with RGB [0 .5 0],
while PLOT(X,Y,'g') plots a green line with RGB [0 1 0].
If you do not specify a marker type, PLOT uses no marker.
If you do not specify a line style, PLOT uses a solid line.
PLOT(AX,...) plots into the axes with handle AX.
PLOT returns a column vector of handles to lineseries objects, one
handle per plotted line.
The X,Y pairs, or X,Y,S triples, can be followed by
parameter/value pairs to specify additional properties
of the lines. For example, PLOT(X,Y,'LineWidth',2,'Color',[.6 0 0])
will create a plot with a dark red line width of 2 points.
Example
x = -pi:pi/10:pi;
y = tan(sin(x)) - sin(tan(x));
plot(x,y,'--rs','LineWidth',2,...
'MarkerEdgeColor','k',...
'MarkerFaceColor','g',...
'MarkerSize',10)
See also PLOTTOOLS, SEMILOGX, SEMILOGY, LOGLOG, PLOTYY, PLOT3, GRID,
TITLE, XLABEL, YLABEL, AXIS, AXES, HOLD, LEGEND, SUBPLOT, SCATTER.
Documentation for plot
doc plot
Other uses of plot
alphaShape/plot
antenna/plot
backscatterBicyclist/plot
backscatterPedestrian/plot
Battery.Parameters/plot
Battery.Pulse/plot
Battery.PulseSequence/plot
BayesianOptimization/plot
blm/plot
cfit/plot
cgv.CGV/plot
clusterDBSCAN.clusterDBSCAN/plot
clustergram/plot
clustering.evaluation.CalinskiHarabaszEvaluation/plot
comm.CCDF/plot
comm.MemorylessNonlinearity/plot
conjugateblm/plot
cuboidModel/plot
customblm/plot
cylinderModel/plot
diffuseblm/plot
digraph/plot
driving.heremaps.LaneTopology/plot
driving.Path/plot
drivingScenario/plot
dspdata/plot
dtree/plot
edwttree/plot
empiricalblm/plot
fairnessMetrics/plot
fints/plot
frd/plot
graph/plot
HeatMap/plot
iddata/plot
idnlarx/plot
idnlhw/plot
imageviewset/plot
InflationCollisionChecker/plot
KAZEPoints/plot
lassoblm/plot
LayerGraph/plot
LeastSquaresResults/plot
lime/plot
LinearModel/plot
matlab.buildtool.Plan/plot
mixconjugateblm/plot
mixsemiconjugateblm/plot
mpc/plot
MSERRegions/plot
NLMEResults/plot
ntree/plot
opc.hda.Data/plot
opticalFlow/plot
parkingSpace/plot
pathPlannerRRT/plot
pcviewset/plot
phased.FMCWWaveform/plot
phased.LinearFMWaveform/plot
phased.MFSKWaveform/plot
phased.PhaseCodedWaveform/plot
phased.RectangularWaveform/plot
phased.SteppedFMWaveform/plot
phytree/plot
planeModel/plot
polyshape/plot
predmaint/plot
prob.NormalDistribution/plot
propagationData/plot
pulseWaveformLibrary/plot
RepeatedMeasuresModel/plot
rfchain.rfchain/plot
rfpcb/plot
roadrunnerHDMap/plot
rocmetrics/plot
ros/plot
rwvtree/plot
SE3/plot
semiconjugateblm/plot
sfit/plot
shapley/plot
SimBiology.fit.ParameterConfidenceInterval/plot
SimBiology.fit.PredictionConfidenceInterval/plot
SimBiology.gsa.ElementaryEffects/plot
SimBiology.gsa.MPGSA/plot
SimBiology.gsa.Sobol/plot
simscape.logging.Node/plot
simscape.logging.Series/plot
simscape.logging/plot
Simulink.sdi.DatasetRef/plot
Simulink.SimulationData.Dataset/plot
Simulink.SimulationData.Parameter/plot
slrealtime.ProfilerData/plot
tall/plot
timeseries/plot
umargin/plot
vehicleCostmap/plot
wavelet/plot
wdectree/plot
wvtree/plot
Here is an example:
% Type out the line equations, and follow the rules (in MATLAB)
x = 0.3:0.01:1.2;
y1 = - 17.9*x.^6 + 89.1*x.^5 - 181.7*x.^4 + 194.5*x.^3 - 115.5*x.^2 + 36.2*x + 95.3;
y2 = - (4e-2)*x + 1e2;
% Plot the curves (Google serach the functions for details)
plot(x, [y1; y2])
grid on
xlabel('X')
ylabel('Y')
title('TITLE')
legend('y_1', 'y_2')
