y=[3,4,5,9,2]
y =
3 4 5 9 2
plot(y)
plot(y,'*')
plot(y,'o')
plot(y,'x')
plot(y,'v')
plot(y,'^')
plot(y,'<')
plot(y,'>')
plot(y,'>-')
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(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.
Overloaded methods:
timeseries/plot
phytree/plot
clustergram/plot
HeatMap/plot
channel.plot
sfit/plot
cfit/plot
fints/plot
idmodel/plot
idfrd/plot
iddata/plot
idnlhw/plot
idnlarx/plot
dspdata.plot
wdectree/plot
ntree/plot
dtree/plot
wvtree/plot
rwvtree/plot
edwttree/plot
Reference page in Help browser
doc plot
plot(y,'r>-')
x=0:2*pi
x =
0 1 2 3 4 5 6
y=sin(x)
y =
Columns 1 through 6
0 0.8415 0.9093 0.1411 -0.7568 -0.9589
Column 7
-0.2794
plot(x,y,'k')
plot(x,y,'k*')
x=0:0.1:2*pi
x =
Columns 1 through 6
0 0.1000 0.2000 0.3000 0.4000 0.5000
Columns 7 through 12
0.6000 0.7000 0.8000 0.9000 1.0000 1.1000
Columns 13 through 18
1.2000 1.3000 1.4000 1.5000 1.6000 1.7000
Columns 19 through 24
1.8000 1.9000 2.0000 2.1000 2.2000 2.3000
Columns 25 through 30
2.4000 2.5000 2.6000 2.7000 2.8000 2.9000
Columns 31 through 36
3.0000 3.1000 3.2000 3.3000 3.4000 3.5000
Columns 37 through 42
3.6000 3.7000 3.8000 3.9000 4.0000 4.1000
Columns 43 through 48
4.2000 4.3000 4.4000 4.5000 4.6000 4.7000
Columns 49 through 54
4.8000 4.9000 5.0000 5.1000 5.2000 5.3000
Columns 55 through 60
5.4000 5.5000 5.6000 5.7000 5.8000 5.9000
Columns 61 through 63
6.0000 6.1000 6.2000
x=0:0.1:2*pi;
y=sin(x);
plot(x,y,'k')
plot(x,y,'k.')
y2=cos(x);
plot(x,y,'m')
y2
y2 =
Columns 1 through 6
1.0000 0.9950 0.9801 0.9553 0.9211 0.8776
Columns 7 through 12
0.8253 0.7648 0.6967 0.6216 0.5403 0.4536
Columns 13 through 18
0.3624 0.2675 0.1700 0.0707 -0.0292 -0.1288
Columns 19 through 24
-0.2272 -0.3233 -0.4161 -0.5048 -0.5885 -0.6663
Columns 25 through 30
-0.7374 -0.8011 -0.8569 -0.9041 -0.9422 -0.9710
Columns 31 through 36
-0.9900 -0.9991 -0.9983 -0.9875 -0.9668 -0.9365
Columns 37 through 42
-0.8968 -0.8481 -0.7910 -0.7259 -0.6536 -0.5748
Columns 43 through 48
-0.4903 -0.4008 -0.3073 -0.2108 -0.1122 -0.0124
Columns 49 through 54
0.0875 0.1865 0.2837 0.3780 0.4685 0.5544
Columns 55 through 60
0.6347 0.7087 0.7756 0.8347 0.8855 0.9275
Columns 61 through 63
0.9602 0.9833 0.9965
plot(x,y2,'m')
'retezec v MATLABu'
ans =
retezec v MATLABu
r='retezec v MATLABu'
r =
retezec v MATLABu
r(3)
ans =
t
r(end)
ans =
u
r(7:end)
ans =
c v MATLABu
z='a'
z =
a
z+5
ans =
102
c='7'
c =
7
d=7
d =
7
d+1
ans =
8
c+1
ans =
56
whos
Name Size Bytes Class Attributes
ans 1x1 8 double
c 1x1 2 char
d 1x1 8 double
r 1x17 34 char
x 1x63 504 double
y 1x63 504 double
y2 1x63 504 double
z 1x1 2 char
r
r =
retezec v MATLABu
r(end:-1:1)
ans =
uBALTAM v cezeter
size(r)
ans =
1 17
length(r)
ans =
17
a=[1:4,5:-1:1]
a =
1 2 3 4 5 4 3 2 1
size(a)
ans =
1 9
length(a)
ans =
9
b=[1;5;9;8;-3]
b =
1
5
9
8
-3
size(b)
ans =
5 1
length(b)
ans =
5
A=[4:8;8:-1:4;0:2:8;5,6,9,-1,0]
A =
4 5 6 7 8
8 7 6 5 4
0 2 4 6 8
5 6 9 -1 0
size(A)
ans =
4 5
length(A)
ans =
5
A(3,4)
ans =
6
A
A =
4 5 6 7 8
8 7 6 5 4
0 2 4 6 8
5 6 9 -1 0
A(2,:)
ans =
8 7 6 5 4
A(2,1:5)
ans =
8 7 6 5 4
A(:,3)
ans =
6
6
4
9
A(1:3,1:2)
ans =
4 5
8 7
0 2
A
A =
4 5 6 7 8
8 7 6 5 4
0 2 4 6 8
5 6 9 -1 0
A(3:end,2:end)
ans =
2 4 6 8
6 9 -1 0
[r,s]=size(A)
r =
4
s =
5
A
A =
4 5 6 7 8
8 7 6 5 4
0 2 4 6 8
5 6 9 -1 0
A(r,:)
ans =
5 6 9 -1 0
A(:,2:s)
ans =
5 6 7 8
7 6 5 4
2 4 6 8
6 9 -1 0
A(:,:)
ans =
4 5 6 7 8
8 7 6 5 4
0 2 4 6 8
5 6 9 -1 0
B=A
B =
4 5 6 7 8
8 7 6 5 4
0 2 4 6 8
5 6 9 -1 0
B(3,4)=-6
B =
4 5 6 7 8
8 7 6 5 4
0 2 4 -6 8
5 6 9 -1 0
B(1:2,1:2)=10
B =
10 10 6 7 8
10 10 6 5 4
0 2 4 -6 8
5 6 9 -1 0
B(4,3:end)=20
B =
10 10 6 7 8
10 10 6 5 4
0 2 4 -6 8
5 6 20 20 20
B(7,6)=80
B =
10 10 6 7 8 0
10 10 6 5 4 0
0 2 4 -6 8 0
5 6 20 20 20 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 80
size(A)
ans =
4 5
size(b)
ans =
5 1
size(B)
ans =
7 6
B
B =
10 10 6 7 8 0
10 10 6 5 4 0
0 2 4 -6 8 0
5 6 20 20 20 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 0 0 80
B(7,:)=[]
B =
10 10 6 7 8 0
10 10 6 5 4 0
0 2 4 -6 8 0
5 6 20 20 20 0
0 0 0 0 0 0
0 0 0 0 0 0
size(B)
ans =
6 6
B(end,:)=[]
B =
10 10 6 7 8 0
10 10 6 5 4 0
0 2 4 -6 8 0
5 6 20 20 20 0
0 0 0 0 0 0
size(B)
ans =
5 6
B(end,:)=[]
B =
10 10 6 7 8 0
10 10 6 5 4 0
0 2 4 -6 8 0
5 6 20 20 20 0
size(B)
ans =
4 6
B(:,5:6)=[]
B =
10 10 6 7
10 10 6 5
0 2 4 -6
5 6 20 20
size(B)
ans =
4 4
B'
ans =
10 10 0 5
10 10 2 6
6 6 4 20
7 5 -6 20
B.'
ans =
10 10 0 5
10 10 2 6
6 6 4 20
7 5 -6 20
A
A =
4 5 6 7 8
8 7 6 5 4
0 2 4 6 8
5 6 9 -1 0
A.'
ans =
4 8 0 5
5 7 2 6
6 6 4 9
7 5 6 -1
8 4 8 0
A'
ans =
4 8 0 5
5 7 2 6
6 6 4 9
7 5 6 -1
8 4 8 0
size(A)
ans =
4 5
size(A.')
ans =
5 4
C=[1+2i,5-6i,4+3i;7+8j,9j,0-j]
C =
1.0000 + 2.0000i 5.0000 - 6.0000i 4.0000 + 3.0000i
7.0000 + 8.0000i 0 + 9.0000i 0 - 1.0000i
C.'
ans =
1.0000 + 2.0000i 7.0000 + 8.0000i
5.0000 - 6.0000i 0 + 9.0000i
4.0000 + 3.0000i 0 - 1.0000i
C'
ans =
1.0000 - 2.0000i 7.0000 - 8.0000i
5.0000 + 6.0000i 0 - 9.0000i
4.0000 - 3.0000i 0 + 1.0000i
size(C)
ans =
2 3
size(C.')
ans =
3 2
size(C')
ans =
3 2
length(C)
ans =
3
length(C.')
ans =
3
A
A =
4 5 6 7 8
8 7 6 5 4
0 2 4 6 8
5 6 9 -1 0
B
B =
10 10 6 7
10 10 6 5
0 2 4 -6
5 6 20 20
b
b =
1
5
9
8
-3
b(end)=[]
b =
1
5
9
8
Q=[B,b]
Q =
10 10 6 7 1
10 10 6 5 5
0 2 4 -6 9
5 6 20 20 8
R=[Q;A]
R =
10 10 6 7 1
10 10 6 5 5
0 2 4 -6 9
5 6 20 20 8
4 5 6 7 8
8 7 6 5 4
0 2 4 6 8
5 6 9 -1 0
R = paralel(10,10)
R =
5
R = paralel(10,4)
R =
2.8571
R1=8;
R2=6;
R = paralel(R1,R2)
R =
3.4286
x=5;
y=6;
R = paralel(x,y)
R =
2.7273
clear % maze promenne
R = paralel(10,10)
R =
5
diary off