Plot Commands

One Dimensional Plots

Plot Types

Images of the one dimensional plot types can be seen here.

Command	Plot Type
dl	Line Plot
dm	Marker Plot
de	Errorbar Plot
dh	Histogram Plot
dp	Marker with Errorbars Plot
dp	Marker and Line with Errorbars Plot

Syntax:

>> dh(w, 'property', value, 'property2', value2,...)

where w is a dataset, 'property' and value define property-value pairs. See User Reference for list of properties that can be set

Overplots

If an overplot command is used, then the next plot will appear on top of any current plots existing in the appropriate window. The following overplot commands work when the existing plot is a one dimensional plot OR if given a name and tag, will overplot any plot type.

Command	Plot Type
pl	Overplot Line
pm	Overplot Marker
pe	Overplot Errorbar
ph	Overplot Histogram
pp	Overplot Marker with Errorbars
pp	Overplot Marker and Line with Errorbars

If the existing plot is not a one dimensional plot, then the following commands need to be used. For instance, if an area plot is made and a dispersion relation is fitted, then the fit can be plotted over the area plot. These are separate commands because an overplot will, by default, find the first open unheld one dimensional plot to use as its window. This is an easier way than using Name-Tags with the normal overplot commands.

Command	Plot Type
ploc	Overplot Line regardless of the nature of the current plot
pmoc	Overplot Marker regardless of the nature of the current plot
peoc	Overplot Errorbar regardless of the nature of the current plot
phoc	Overplot Histogram regardless of the nature of the current plot

Plotting Arrays of IXTdataset_1d

If the input to a one dimensional plot command is an array of IXTdataset_1d objects then each IXTdataset_1d will be plotted as an overplot. Their order in the array is the same as the plotting order so that

>> dl(w, optional)

is the same as

for i = 1:length(ww)
    pl(w(i), optional)
end

EXAMPLE:

If w is a 4 element array of IXTdataset_1d objects then

>> acolor('red', 'blue', 'green')
>> dl(w)

Gives the following result

Plotting Arrays of IXTdataset_2d

When a one dimensional plot is made of an IXTdataset_2d object then the IXTdataset_2d object is expanded into an array of IXTdataset_1d objects and then plotted.

Two Dimensional Plots

Plot Types

Images of the two dimensional plot types can be seen here.

Command	Plot Type
da	Area Plot
ds	Surface Plot
mp	Multiplot Plot

Syntax:

>> ds(ww, 'property', value, 'property2', value2,...)

where ww is a dataset, 'property' and value define property-value pairs. See the User Reference for a list of available properties.

Plotting Arrays of IXTdataset_1d

An array of IXTdataset_1d objects is converted into an array of IXTdataset_2d objects and then plotted, if possible the IXTdataset_2d objects are contracted into a single IXTdataset_2d.

Plotting Arrays of IXTdataset_2d

Area Plot and Multiplot

These plot each dataset on top of the last. So if data from two datasets overlap in an area plot, then the plotted data will be taken from the latest in the array.

Surface Plot

A surface plot may be plotted in one of two different ways

• Combined (Default) - the data is combined and plotted as a single plot
• Separate - different plots are made on the same axis, one for each dataset

&nbsp	Combined	Separate
Description	A set of points evenly distributed between the minimum and maximum values of all data are chosen. Signal data are then interpolated accross these points using linear interpolation.	Data are plotted in the order it appears in the array. No interpolation is done.
Useful For	Data that originates from the same run but has been split into many IXTdataset_2d objects or an array of IXTdataset_1d objects	Separate data that is to be displayed side by side
Computational Time and Memory	Long time with high memory cost to perform the interpolation. Only possible on small arrays	Minimal resources used
Syntax	>> ds(ww)	>> ds(ww, 'separation', 'on')
Images

Three Dimensional Plots

Sliceomatic

Sliceomatic is a special addition to the graphics package and is not fully implimented. Optional settings are severely limited and many commands simiply don't work with Sliceomatic. It is a stand alone application. However, keep_figure and name tags (see below) still work and are the most useful tools.

Syntax

>> sm(d3a, optional)

here, d3a is an IXTdataset_3d object.

Optional Inputs

All of the plotting commmands accept similar optional input arguments. Below are a few examples, see here for a full list of optional inputs.

>> dl(w1, xlo, xhi, ylo, yhi)
>> dl(w1, xlo, xhi)
>> ds(ww, xlo, xhi, ylo, yhi, zlo, zhi)
>> dl(w, 'color','green','title','myplot')
>> da(w1, 'zlim', [0,0.1])

Using Name Tags

Names and Tags are used to identify plots and define properties for them. See here for more detailed information about properties and name tags.

Each plot with the same name and tag will have the same behaviour and default properties. They will plot into the same window (as long as it isn't on hold) and replace its contents. When setting properties pre-emptively name tags may be given so that only properties of certain plots are changed.

Syntax:

>>dl(w1, 'name', 'myname', 'tag', 'mytag')

By default each plot type has a different name and all tags are blank

Plot Type	Default Name
Oned (histogram, line, errorbar and marker)	'default one dimensional plot'
Area	'default area plot'
Surface	'default surface plot'
Multiplot	'default multiplot'
Sliceomatic	'Sliceomatic'

Therefore, by default, each of these plot types will have their own figure window when plotting, but plots of the same type will replace each other unless they are held.