pyrocko.plot.response

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

Example

• test_response_plot.py

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.)

Example response plot

Functions

draw(response[, axes_amplitude, axes_phase, ...])	Draw instrument response in Bode plot style to given Matplotlib axes
plot(responses[, filename, dpi, fmin, fmax, ...])	Draw instrument responses in Bode plot style.
setup_axes([axes_amplitude, axes_phase])	Configure axes in Bode plot style.

draw(response, axes_amplitude=None, axes_phase=None, fmin=0.01, fmax=100.0, nf=100, normalize=False, style={}, label=None, show_breakpoints=False, color_pool=None, label_pool=None)

Draw instrument response in Bode plot style to given Matplotlib axes

Parameters:

• response – instrument response as a pyrocko.response.FrequencyResponse object

• axes_amplitude – matplotlib.axes.Axes object to use when drawing the amplitude response

• axes_phase – matplotlib.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

• style – dict 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)

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, show_breakpoints=False, separate_combined_labels=None)

Draw instrument responses in Bode plot style.

Parameters:

• responses – instrument responses as pyrocko.response.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

• styles – list 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

• figsize – tuple, (width, height) in inches

• labels – list of names to show in legend. Length must correspond to number of responses.

• show_breakpoints – show breakpoints of pole-zero responses.