Helipad 1.0 has just launched with a plethora of improvements. Most importantly: you can now run Helipad models in Jupyter notebooks.
Jupyter notebooks are interactive documents into which you can embed Python code to run in-browser. They’re popular for sharing scientific code because putting code in a document can be much more readable than putting comments in code.
Helipad can now run a full-featured instance inside a Jupyter notebook, with the same control panel experience and interactive plotting. Anything you can do with the Tkinter frontend, you can now do in the Jupyter frontend as well, with no* changes to your code. (*except that you’ll need to launch the plots explicitly with a
heli.launchVisual() line at the end)
To try out the new Jupyter frontend,
- Download one of the sample notebooks
- Install Jupyter and Ipywidgets using
pip install jupyterlaband
pip install ipywidgets
- Launch the notebook from your terminal using
jupyter notebook /path/to/notebook.ipynb
Because the code can be written and run in-browser, this should flatten the learning curve for writing a Helipad model and increase the shareability of model code.
The most significant API update is a set of new decorators to add hooks and reporters. Previously, it was necessary to define a function and then register it using
model.addHook(). This entailed a lot of repetition.
Starting with Helipad 1.0, you can now register hooks using a decorator syntax. Just name your function according to the hook, and add
@heli.hook at the top.
from helipad import Helipad heli = Helipad() @heli.hook def modelStep(model, stage): pass
You can also use
@heli.hook('modelStep') if you want to hook a function of any name to the
modelStep hook, for example.
There are also decorators for reporters and button shocks. Though most reporters will still be generated with the
data methods, if you’re defining your own reporter function, you can register it with the
@heli.reporter decorator. Similarly, you can add buttons easily to the control panel with
With the release of Helipad 1.0, every effort will be made to maintain backward-compatibility. Documented functions and properties will not change before six months or two 0.1 releases after the first release in which they are deprecated, whichever is longer. Undocumented functions and properties can change without notice.
- Plotting is now completely independent of the control panel. So you can launch the traditional way with
model.launchCpanel(), jump straight into plotting with
model.launchVisual(), or go completely GUI-less with
model.start()(In the latter two cases you’ll have to set parameter values, including any data post-processing, in code).
Paramobjects now allow you to enable and disable the GUI element.
- Model control is handled in the
modelobject now, rather than the
Cpanelobject. If you need to control the model with code, use
- New parameter types
checkgridcan be registered with
- Sliders can be registered with discrete and arbitrary values by passing a list of values to the
- The CSV and stop-after boxes, along with the refresh rate slider and the plot list, are now proper parameters and can be accessed and set using
model.param()under the names
stopafterparameter can be set to a function rather than a number, in order to stop the model after an arbitrary condition is fulfilled. This can also be used in parameter sweeps.
- Plots can be activated and deactivated from code with the new
The full list of API changes is below.
API Changes in Version 1.0
- ⚠️ HelipadRemoved
model.defaultPlots. Select plots programmatically with the
model.addPlot(), or after the fact with
Cpanel.runningto the model object.
Model control (the
terminate()methods) is handled here rather than in the
addButton()method now aliases
- ⚠️ CpanelChanged name to
runningproperties to the model object, and the
lastUpdateproperty to the
headlessparameter and property. To run the model headless, run
checksproperties, which formerly stored Tkinter widgets relating to configuration, have been removed. Their values can be accessed through parameters of the same name with
checks, which can now be accessed with
Moved model control methods
With the plot list being a parameter now, the
CpanelAbovePlotlisthook has been removed.
- ⚠️ launchCpanelRenamed from
model.launchGUI, and removed the
headlessparameter. To run the model headless, run
model.launchPlots()without calling this function.
- ⚠️ launchVisualMoved from
- ⚠️ paramSweepRemoved the
model.param('stopafter')to set a time limit or a stop condition.
- ⚠️ addButtonPass the model object to the button function, and move the display from the top to the shocks section.
- ⚠️ terminateTakes the model object rather than the GUI object as the first argument.
- ⚠️ modelStopTakes the model object rather than the GUI object as the first argument.
- ⚠️ CpanelAboveItemParamsName changed from
- ⚠️ CpanelAboveParamsName changed from
- ⚠️ CpanelAboveShocksName changed from
- ⚠️ CpanelBottomName changed from
- ⚠️ CpanelTopName changed from
- ⚠️ CpanelPostInitName changed from
- ⚠️ CpanelPreLaunchName changed from
- ⚠️ GUICloseNever executes in a Jupyter environment.
- PlotAdded the
selectedproperties and the
- logSliderWith the log slider now available for use in user-defined parameters, the Tkinter class now has a complement of methods:
- TimeSeriesAdded the
lastUpdateproperty, formerly from the GUI object.
- addHookAdded the
- addCheckNow returns the
- disabledMade the second parameter optional to allow the entire checkGrid to be enabled or disabled at once.
- checkEntryAdded the
callbackparameters to enable callback functions.
- addParameterAdded support for checkgrid, checkentry, and logslider parameters.
- ParamAdded the
defaultValproperty, and split the parameter types into subclasses.
- startIntroduced as part of the transfer of model control functions from
GUIto the model object.
- launchCpanelInterrupts the 'Run All' sequence in a Jupyter environment.