Plotting

class divHretention.plot_Tc_map_with_subplots(filenames=[], filetypes=[], time=10000000.0, T_bounds=[320, 1200], c_bounds=[1e+20, 1e+23], figsize=(8, 8), **kwargs)

Bases: object

Plots the (T, concentration) map with distribution plots on the side. This class works with csv files (see Exposition())

Parameters

  • filenames (list, optional) – The CSV file names. Defaults to [].

  • filetypes (list, optional) – The CSV file types (“WEST” or “ITER”). Defaults to [].

  • T_bounds (list, optional) – The limits for T (K). Defaults to [320, 1200].

  • c_bounds (list, optional) – The limits for concentration (H m-3). Defaults to [1e20, 1e23].

  • figsize (tuple, optional) – The size of the figure. Defaults to (8, 8).

add_case(filename, filetype)

Adds a new exposure case to the plot.

Parameters

  • filename (str) – The CSV file name.

  • filetype (str) – The CSV file type (“WEST” or “ITER”).

show()

Similar to matplotlib.pyplot.show()

class divHretention.plot_along_divertor(filenames=[], filetypes=[], quantities=['stdev_inv'], figsize=(8, 8), plot_sigma=True, overlap_ions_atoms=True, colors=None, **kwargs)

Bases: object

Plots some quantities along the divertor arc length. This class works with csv files (see Exposition()).

Parameters

  • filenames (list, optional) – The CSV file names. Defaults to [].

  • filetypes (list or str, optional) – The CSV file types (“WEST” or “ITER”). Defaults to [].

  • quantities (list, optional) – The quantities to be plotted (see correspondance_dict() in plot_along_divertor). Defaults to [“stdev_inv”].

  • figsize (tuple, optional) – The size of the figure. Defaults to (8, 8).

  • plot_sigma (bool, optional) – If true, the 95% confidence interval will be plotted. Defaults to True.

  • overlap_ions_atoms (bool, optional) – If True, energies, fluxes and angles of ions and atoms will be plotted on the same plot. Defaults to True.

  • colors (list, optional) – List of matplotlib colors. The length of colors must be the same as filetypes. Defaults to None.

Raises

ValueError – if missing the filetypes argument

add_case(filename, filetype, color)

Adds a new exposure case to the plot.

Parameters

  • filename (str) – The CSV file name.

  • filetype (str) – The CSV file type (“WEST” or “ITER”).

  • color (str) – the color of the line.

Raises

ValueError – If a quantity is unknown.

compute_nrows()

Compute the number of rows needed

Returns

number of rows, list of axes

Return type

int, list

show()

Similar to matplotlib.pyplot.show()

divHretention.create_correspondance_dict(filename, filetype)

Creates a correspondance dictionary link for the case

Parameters

  • filename (str) – The CSV file name.

  • filetype (str) – The CSV file type (“WEST” or “ITER”).

Returns

correspondance dictionary with a “var” key for each quantity

Return type

dict

class divHretention.plot_T_c_inv_along_divertor(**kwargs)

Bases: divHretention.plotting.plot_along_divertor.plot_along_divertor

Plots the temperature, concentration and inventory distribution along the divertor

class divHretention.plot_particle_exposure_along_divertor(**kwargs)

Bases: divHretention.plotting.plot_along_divertor.plot_along_divertor

Plots the exposure condition (particle fluxes, energies and angles) along the divertor

divHretention.plot_inv_with_uncertainty(x, y, stdev, zscore=2, alpha_fill=0.3, **kwargs)

Plots the inventory along the divertor with the associated uncertainity filled

Parameters

  • x (numpy.array) – Arc length (m) along the divertor

  • y (numpy.array) – Inventory per unit thickness (H/m)

  • stdev (numpy.array) – standard deviation

  • zscore (float) – userdefined zscore corresponding to a confidence interval. Defaults to 2.

  • alpha_fill (float, optional) – Opacity of the filled region between 0 and 1. Defaults to 0.3.