arim.plot.plot_oxz#

arim.plot.plot_oxz(data, grid, ax=None, title=None, clim=None, interpolation='none', draw_cbar=True, cmap=None, figsize=None, savefig=None, patches=None, filename=None, scale='linear', ref_db=None)[source]#

Plot data in the plane Oxz.

Parameters:

  • data (ndarray) – Shape: 2D matrix (grid.numx, grid.numz) or 3D matrix (grid.numx, 1, grid.numz) or 1D matrix (grid.numx * grid.numz)

  • grid (Grid)

  • ax (matplotlib.Axis or None) – Axis where to plot.

  • title (str or None)

  • clim (List[Float] or None)

  • interpolation (str or None)

  • draw_cbar (boolean)

  • cmap

  • figsize (List[Float] or None) – Default: conf['plot_oxz.figsize']

  • savefig (boolean or None) – If True, save the figure. Default: conf['savefig']

  • patches (List[matplotlib.patches.Patch] or None) – Patches to draw

  • filename (str or None) – If True

  • scale (str or None) – ‘linear’ or ‘db’. Default: ‘linear’

  • ref_db (float or None) – Value for 0 dB. Used only for scale=db.

Returns:

  • axis

  • image

Examples

grid = arim.geometry.Grid(-5e-3, 5e-3, 0, 0, 0, 15e-3, .1e-3)
k = 2 * np.pi / 10e-3
data = (np.cos(grid.x * 2 * k) * np.sin(grid.z * k))
ax, im = aplt.plot_oxz(data, grid)
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