pymor.tools.plot
¶
Module Contents¶
- class pymor.tools.plot.Adaptive(f, a, b, initial_num, max_num, angle_tol, min_rel_dist, aspect_ratio, xscale, yscale)[source]¶
Bases:
pymor.core.base.BasicObject
Base class for most classes in pyMOR.
- logger[source]¶
A per-class instance of
logging.Logger
with the class name as prefix.
- uid[source]¶
A unique id for each instance. The uid is obtained by using
UID
and is unique for all pyMOR objects ever created.
Methods
- pymor.tools.plot.adaptive(f, a, b, initial_num=10, max_num=2000, angle_tol=2, min_rel_dist=0.01, aspect_ratio=4 / 3, xscale='linear', yscale='linear')[source]¶
Adaptive sampling of a
NumPy array
-valued function.Samples the function such that the piecewise linear interpolation looks “smooth”.
If the function is complex-valued, it is assumed that the magnitude and phase should be plotted.
Parameters
- f
The function to sample.
- a
The left bound.
- b
The right bound.
- initial_num
Initial number of linearly spaced sampling points.
- max_num
Maximum number of sampling points.
- angle_tol
Tolerance for the maximum pointwise angle in degrees away from 180°.
- min_rel_dist
Minimum distance between two neighboring points relative to the width of the plot.
- aspect_ratio
Ratio between width and height of the plot, used in calculating angles and distances.
- xscale
Whether to use linear (
'linear'
) or logarithmic ('log'
) scale in the x-axis.- yscale
Whether to use linear (
'linear'
) or logarithmic ('log'
) scale in the y-axis. If the function is complex-valued, yscale only refers to the magnitude (phase is always assumed to be in a linear scale).
Returns
- points
A 1D
NumPy array
of sampled points.- fvals
A
NumPy array
of function values.