plot.beachball

exception BeachballError[source]
class FixedPointOffsetTransform(trans, dpi_scale_trans, fixed_point)[source]
transform_non_affine(values)[source]

Performs only the non-affine part of the transformation.

transform(values) is always equivalent to transform_affine(transform_non_affine(values)).

In non-affine transformations, this is generally equivalent to transform(values). In affine transformations, this is always a no-op.

Accepts a numpy array of shape (N x input_dims) and returns a numpy array of shape (N x output_dims).

Alternatively, accepts a numpy array of length input_dims and returns a numpy array of length output_dims.

plot_beachball_mpl(mt, axes, beachball_type='deviatoric', position=(0.0, 0.0), size=None, zorder=0, color_t='red', color_p='white', edgecolor='black', linewidth=2, alpha=1.0, projection='lambert', size_units='points')[source]

Plot beachball diagram to a Matplotlib plot

Parameters:
  • mtpyrocko.moment_tensor.MomentTensor object or an array or sequence which can be converted into an MT object
  • beachball_type'deviatoric' (default), 'full', or 'dc'
  • position – position of the beachball in data coordinates
  • size – diameter of the beachball either in points or in data coordinates, depending on the size_units setting
  • zorder – (passed through to matplotlib drawing functions)
  • color_t – color for compressional quadrants (default: 'red')
  • color_p – color for extensive quadrants (default: 'white')
  • edgecolor – color for lines (default: 'black')
  • linewidth – linewidth in points (default: 2)
  • alpha – (passed through to matplotlib drawing functions)
  • projection'lambert' (default), 'stereographic', or 'orthographic'
  • size_units'points' (default) or 'data', where the latter causes the beachball to be projected in the plots data coordinates (axes must have an aspect ratio of 1.0 or the beachball will be shown distorted when using this).
plot_fuzzy_beachball_mpl_pixmap(mts, axes, best_mt=None, beachball_type='deviatoric', position=(0.0, 0.0), size=None, zorder=0, color_t='red', color_p='white', edgecolor='black', best_color='red', linewidth=2, alpha=1.0, projection='lambert', size_units='data', grid_resolution=200)[source]

Plot fuzzy beachball from a list of given MomentTensors

Parameters:
  • mts – list of pyrocko.moment_tensor.MomentTensor object or an array or sequence which can be converted into an MT object
  • best_mtpyrocko.moment_tensor.MomentTensor object or an array or sequence which can be converted into an MT object of most likely or minimum misfit solution to extra highlight
  • best_color – mpl color for best MomentTensor edges, polygons are not plotted

See plot_beachball_mpl for other arguments

plot.cake_plot

path2colorint(path)[source]

Calculate an integer representation deduced from path’s given name.

plot.hudson

project(mt)[source]

Calculate Hudson’s (u, v) coordinates for a given moment tensor.

The moment tensor can be given as a pyrocko.moment_tensor.MomentTensor object, or by anything that can be converted to a 3x3 NumPy matrix, or as the six independent moment tensor entries as (mnn, mee, mdd, mne, mnd, med).

draw_axes(axes, color='black', fontsize=12, linewidth=1.5)[source]

Plot axes and annotations of Hudson’s MT decomposition diagram.

plot.response

This module contains functions to plot instrument response transfer functions in Bode plot style using Matplotlib.

Example

from pyrocko.plot import response
from pyrocko.example import get_example_data

get_example_data('test_response.resp')

resps, labels = response.load_response_information(
    'test_response.resp', 'resp')

response.plot(
    responses=resps, labels=labels, filename='test_response.png',
    fmin=0.001, fmax=400., dpi=75.)
../../../_images/test_response.png

Example response plot

draw(response, axes_amplitude=None, axes_phase=None, fmin=0.01, fmax=100.0, nf=100, normalize=False, style={}, label=None)[source]

Draw instrument response in Bode plot style to given Matplotlib axes

Parameters:
  • response – instrument response as a pyrocko.trace.FrequencyResponse object
  • axes_amplitudematplotlib.axes.Axes object to use when drawing the amplitude response
  • axes_phasematplotlib.axes.Axes object to use when drawing the phase response
  • fmin – minimum frequency [Hz]
  • fmax – maximum frequency [Hz]
  • nf – number of frequencies where to evaluate the response
  • styledict with keyword arguments to tune the line style
  • label – string to be passed to the label argument of matplotlib.axes.Axes.plot()
setup_axes(axes_amplitude=None, axes_phase=None)[source]

Configure axes in Bode plot style.

plot(responses, filename=None, dpi=100, fmin=0.01, fmax=100.0, nf=100, normalize=False, fontsize=10.0, figsize=None, styles=None, labels=None)[source]

Draw instrument responses in Bode plot style.

Parameters:
  • responses – instrument responses as pyrocko.trace.FrequencyResponse objects
  • fmin – minimum frequency [Hz]
  • fmax – maximum frequency [Hz]
  • nf – number of frequencies where to evaluate the response
  • normalize – if True normalize flat part of response to be 1
  • styleslist of dict objects with keyword arguments to be passed to matplotlib’s matplotlib.axes.Axes.plot() function when drawing the response lines. Length must match number of responses.
  • filename – file name to pass to matplotlib’s savefig function. If None, the plot is shown with matplotlib.pyplot.show().
  • fontsize – font size in points used in axis labels and legend
  • figsizetuple, (width, height) in inches
  • labelslist of names to show in legend. Length must correspond to number of responses.