pycsamt.ai.plot.section

2-D resistivity section and pseudo-section visualisation.

All functions respect the EMStyle publication conventions and return Figure or Axes objects for downstream composition.

Functions

plot_pseudo_section(rho_a_2d, *[, freqs, ...])	Apparent-resistivity or phase pseudo-section plot.
plot_section(rho_2d, *[, depths, stations, ...])	Plot a 2-D resistivity section.
plot_section_pair(true_2d, pred_2d, *[, ...])	Side-by-side comparison of true and predicted 2-D resistivity sections.

pycsamt.ai.plot.section.plot_section(rho_2d, *, depths=None, stations=None, depth_max=2000.0, station_spacing=1.0, log_scale=True, vmin=None, vmax=None, cmap=None, title='', xlabel='Station', ylabel='Depth (m)', show_sites=True, figsize=None, ax=None, style=True)

Plot a 2-D resistivity section.

Parameters:

• rho_2d (ndarray, shape (n_depth, n_stations)) – Resistivity or log₁₀(ρ) 2-D model.

• depths (ndarray (n_depth,) or None) – Depth values in metres. Default: linear 0 → depth_max.

• stations (ndarray (n_stations,) or None) – Station positions (arbitrary units).

• depth_max (float) – Maximum depth used when depths is None.

• station_spacing (float) – Station interval when stations is None.

• log_scale (bool) – Apply log₁₀ transform before plotting. Set False if rho_2d already contains log₁₀(ρ).

• vmin (float or None) – Colour scale limits.

• vmax (float or None) – Colour scale limits.

• cmap (str or None) – Matplotlib colormap name. Defaults to 'RdYlBu_r'.

• title (str)

• xlabel (str)

• ylabel (str)

• show_sites (bool) – Draw site-marker triangles at the surface.

• figsize ((width, height) or None)

• ax (Axes or None)

• style (bool) – Apply EMStyle context.

Returns:

fig

Return type:

Figure

pycsamt.ai.plot.section.plot_section_pair(true_2d, pred_2d, *, depths=None, stations=None, depth_max=2000.0, station_spacing=1.0, log_scale=True, vmin=None, vmax=None, cmap=None, show_difference=True, figsize=None, style=True)

Side-by-side comparison of true and predicted 2-D resistivity sections.

Optionally shows the absolute difference (show_difference=True).

Parameters:

• true_2d (ndarray (n_depth, n_stations))

• pred_2d (ndarray (n_depth, n_stations))

• depths (see plot_section())

• stations (see plot_section())

• depth_max (see plot_section())

• station_spacing (see plot_section())

• log_scale (see plot_section())

• vmin (float or None) – Shared colour scale. When None, computed from true_2d.

• vmax (float or None) – Shared colour scale. When None, computed from true_2d.

• cmap (str or None)

• show_difference (bool) – Add a third panel with the signed difference.

• figsize ((width, height) or None)

• style (bool)

Returns:

fig

Return type:

Figure

pycsamt.ai.plot.section.plot_pseudo_section(rho_a_2d, *, freqs=None, stations=None, station_spacing=1.0, log_freq=True, log_rho=True, vmin=None, vmax=None, cmap=None, component='xy', title='', figsize=None, ax=None, style=True)

Apparent-resistivity or phase pseudo-section plot.

Parameters:

• rho_a_2d (ndarray (n_freqs, n_stations)) – Apparent resistivity or phase values.

• freqs (ndarray (n_freqs,) or None) – Frequencies in Hz.

• stations (ndarray (n_stations,) or None) – Station positions.

• station_spacing (float)

• log_freq (bool) – Use log₁₀(period) for the y-axis.

• log_rho (bool) – Apply log₁₀ transform to the data.

• vmin (float or None)

• vmax (float or None)

• cmap (str or None)

• component (str) – Label for the colour bar (e.g. 'xy', 'yx', 'phase_xy').

• title (str)

• figsize ((width, height) or None)

• ax (Axes or None)

• style (bool)

Returns:

fig

Return type:

Figure