Base Classes¶
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class
prysm._richdata.
RichData
(data, dx, wavelength)¶ Bases:
object
Abstract base class holding some data properties.
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shape
¶ Proxy to phase or data shape.
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size
¶ Proxy to phase or data size.
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x
¶ X coordinate axis, 1D.
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y
¶ Y coordinate axis, 1D.
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r
¶ r coordinate axis, 2D.
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t
¶ t coordinate axis, 2D.
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support_x
¶ Width of the domain in X.
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support_y
¶ Width of the domain in Y.
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support
¶ Width of the domain.
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copy
()¶ Return a (deep) copy of this instance.
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slices
(twosided=None)¶ Create a Slices instance from this instance.
- Parameters
twosided (bool, optional) – if None, copied from self._default_twosided
- Returns
a Slices object
- Return type
Slices
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exact_polar
(rho, phi=None)¶ Retrieve data at the specified radial coordinates pairs.
- Parameters
rho (iterable) – radial coordinate(s) to sample
phi (iterable) – azimuthal coordinate(s) to sample
- Returns
data at the given points
- Return type
numpy.ndarray
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exact_xy
(x, y=None)¶ Retrieve data at the specified X-Y frequency pairs.
- Parameters
x (iterable) – X coordinate(s) to retrieve
y (iterable) – Y coordinate(s) to retrieve
- Returns
data at the given points
- Return type
numpy.ndarray
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exact_x
(x)¶ Return data at an exact x coordinate along the y=0 axis.
- Parameters
x (number or numpy.ndarray) – x coordinate(s) to return
- Returns
ndarray of values
- Return type
numpy.ndarray
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exact_y
(y)¶ Return data at an exact y coordinate along the x=0 axis.
- Parameters
y (number or numpy.ndarray) – y coordinate(s) to return
- Returns
ndarray of values
- Return type
numpy.ndarray
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plot2d
(xlim=None, ylim=None, clim=None, cmap=None, log=False, power=1, interpolation=None, show_colorbar=True, colorbar_label=None, axis_labels=(None, None), fig=None, ax=None)¶ Plot data in 2D.
- Parameters
xlim (float or iterable, optional) – x axis limits. If not iterable, symmetric version of the single value
ylim (float or iterable, optional) – y axis limits. If None and xlim is not None, copied from xlim. If not iterable, symmetric version of the single value.
clim (iterable, optional) – clim passed directly to matplotlib. If None, looked up on self._default_clim.
cmap (str, optional) – colormap to use, passed directly to matplotlib if not None. If None, looks up the default cmap for self._data_type on config
log (bool, optional) – if True, plot on a log color scale
power (float, optional) – if not 1, plot on a power stretched color scale
interpolation (str, optional) – interpolation method to use, passed directly to matplotlib
show_colorbar (bool, optional) – if True, draws the colorbar
colorbar_label (str, optional) – label for the colorbar
axis_labels (iterable of str,) – (x, y) axis labels. If None, not drawn
fig (matplotlib.figure.Figure) – Figure containing the plot
ax (matplotlib.axes.Axis) – Axis containing the plot
- Returns
fig (matplotlib.figure.Figure) – Figure containing the plot
ax (matplotlib.axes.Axis) – Axis containing the plot
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class
prysm._richdata.
Slices
(data, x, y, twosided=True)¶ Bases:
object
Slices of data.
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check_polar_calculated
()¶ Ensure that the polar representation of the source data has been calculated.
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x
¶ Slice through the Y=0 axis of the data, i.e. along the X axis.
- Returns
x (numpy.ndarray) – coordinates
slice (numpy.ndarray) – values of the data array at these coordinates
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y
¶ Slice through the X=0 axis of the data, i.e., along the Y axis.
- Returns
y (numpy.ndarray) – coordinates
slice (numpy.ndarray) – values of the data array at these coordinates
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azavg
¶ Azimuthal average of the data.
- Returns
rho (numpy.ndarray) – coordinates
slice (numpy.ndarray) – values of the data array at these coordinates
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azmedian
¶ Azimuthal median of the data.
- Returns
rho (numpy.ndarray) – coordinates
slice (numpy.ndarray) – values of the data array at these coordinates
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azmin
¶ Azimuthal minimum of the data.
- Returns
rho (numpy.ndarray) – coordinates
slice (numpy.ndarray) – values of the data array at these coordinates
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azmax
¶ Azimuthal maximum of the data.
- Returns
rho (numpy.ndarray) – coordinates
slice (numpy.ndarray) – values of the data array at these coordinates
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azpv
¶ Azimuthal PV of the data.
- Returns
rho (numpy.ndarray) – coordinates
slice (numpy.ndarray) – values of the data array at these coordinates
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azvar
¶ Azimuthal variance of the data.
- Returns
rho (numpy.ndarray) – coordinates
slice (numpy.ndarray) – values of the data array at these coordinates
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azstd
¶ Azimuthal standard deviation of the data.
- Returns
rho (numpy.ndarray) – coordinates
slice (numpy.ndarray) – values of the data array at these coordinates
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plot
(slices, lw=None, alpha=None, zorder=None, invert_x=False, xlim=(None, None), xscale='linear', ylim=(None, None), yscale='linear', show_legend=True, axis_labels=(None, None), fig=None, ax=None)¶ Plot slice(s).
- Parameters
slices (str or Iterable) – if a string, plots a single slice. Else, plots several slices.
lw (float or Iterable, optional) – line width to use for the slice(s). If a single value, used for all slice(s). If iterable, used pairwise with the slices
alpha (float or Iterable, optional) – alpha (transparency) to use for the slice(s). If a single value, used for all slice(s). If iterable, used pairwise with the slices
zorder (int or Iterable, optional) – zorder (stack height) to use for the slice(s). If a single value, used for all slice(s). If iterable, used pairwise with the slices
invert_x (bool, optional) – if True, flip x (i.e., Freq => Period or vice-versa)
xlim (tuple, optional) – x axis limits
xscale (str, {‘linear’, ‘log’}, optional) – scale used for the x axis
ylim (tuple, optional) – y axis limits
yscale (str, {‘linear’, ‘log’}, optional) – scale used for the y axis
show_legend (bool, optional) – if True, show the legend
axis_labels (iterable of str,) – (x, y) axis labels. If None, not drawn
fig (matplotlib.figure.Figure) – Figure containing the plot
ax (matplotlib.axes.Axis) – Axis containing the plot
- Returns
fig (matplotlib.figure.Figure) – Figure containing the plot
ax (matplotlib.axes.Axis) – Axis containing the plot
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