# Plot functions

The following plot functions are provided by the module `ba_plot` in the `bornagain` Python package.

### Plot single Datafield

A single Datafield can be plotted with

    from bornagain import ba_plot as bp
    simulation = ...
    result = simulation.simulate()
    bp.plot_simulation_result(result)
    bp.plt.show()

This function is used in a majority of our scripting examples, for instance in the following short, basic examples:

- specular reflectivity
- GISAS

### Plot several curves

Specular simulations yield one-dimensional Datafields that are plotted as curves y(x). Several such curves can be plotted in one frame. This is often used to demonstrate the effect of varying one parameter. See e.g. the examples

- Magnetic reflectivity with different polarizations
- Rough interfaces with different transient models

Typical usage:

    from bornagain import ba_plot as bp

    def simulate(p):
        simulation = ... # depends on parameter p
        return simulation.simulate()

    P = [...] # list of parameter values
    results = [simulate(p) for p in P]
    bp.plot_multicurve(results)
    bp.plt.show()

### Plot several frames

To plot several Datafields in as many frames, use one of

    make_plot(results, ncol, **plotargs)
    make_plot_row(results, **plotargs)

The first of these creates a grid with `ncol` frames per row. The second puts all frames in a single row; it is equivalent to `make_plot(results, len(results), **plotargs)`.

Typical usage is as for `plot_multicurve`, see code snippet above.

Examples:

- Grid example;
- Row example.

- Introduction
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  - Model modifiers
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  - Plotting
    - Functions
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  - Fitting
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      - External minimizer
      - External minimizer: plotting
      - Simultaneous fit of two datasets
      - Spin asymmetry fit example
      - Reflectometry: Fit Pt layer
      - Reflectometry: Fit honeycomb

- Literature
  - Babonneau2010
  - Babonneau2013
  - Croset2021
  - Lazzari2002
  - Lazzari2006
  - Pospelov2020
  - Renaud2009
  - Sears1992
  - Wuttke2021

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