Kast updated for: Version 18.104.22.168
Create a new plot
Goto 'Window' -> 'Plot' -> 'New..' A Plot widget will popup and now you can place it into your DockingStation
Remove a plot
Goto 'Window' -> 'Plot' -> 'Plot<i>' -> 'Remove' Here, <i> is the number of the plot.
Modify a plot
Double click on a plot. A dialog opens that allows you to set the plotted variables, change the design of the plot and other things.
All Modules that are part of the sequencer are listed. Expand the modules and select the variables that you would like to plot:
- 'x' refers to the bottome x axis
- 'y' refers to the left y axis
- 'z' refers to the right y axis
The functionality 'Slice/Filter' allows you to reduce the plotted data. The syntax is directly adapted from array slicing via numpy in python.
- use '-1' to get the last point of a variation
- use '-100:' to get the 100 points of a variaton
- use '0' to get the data of first parameter of a variaton, and '1' to get the data of the second parameter of a variation
- use '::2' to get every second data point
- use '1::2' to get every second data point but starting from the second value.
If you make multi-dimensional parameter variations, you can tell SweepMe! where to split the lines by using the CheckBoxes underneath 'New line per value'. Select the module that performs the parameter variation for which you would like to split the plotted lines. Imaging you measure temperature dependent current-voltage characteristics. Typically, you would like to have each current-voltage characteristic as one line in the plot for each measured temperature. Hence, you have to check 'New line per value' for your Temperature module.
There are different plot styles that you can use. The default setting is 'Lines' which displays markers and lines. Other plot styles are under development, but can be already tested. Let us know if you need further features and improvements. Just write to email@example.com
- 'Scale' -> select whether scales are linear or logarithmic
- 'Fixed axes limits' -> All plots are autoscaled. Select fixed boundaries for your data if you like.
- 'Normalize to / Divide by' -> Enter a value and the data will be divided by this value or choose 'maximum', 'minimum', 'last', or 'first' to normalize your data.
- 'Scaling mode' -> if you have visualize data at the left y axis ('y') and the right y axis ('z') you can define whether both axis use a global scaling, are individually scaled, or use a scale defined by either 'y' or 'z'
- 'Design' -> in progress... :) You can already choose whether a grid should be shown. The legend also works but just shows an index that increments for each variaton.