一些常见模拟信号的绘制（Python）

摘要：import matplotlib.pyplot as pltimport numpy as npimport pywt# use 'list' to get a list of all available 1d demo signalssignals = p

import matplotlib.pyplot as pltimport numpy as npimport pywt# use 'list' to get a list of all available 1d demo signalssignals = pywt.data.demo_signal('list')subplots_per_fig = 5signal_length = 1024i_fig = 0n_figures = int(np.ceil(len(signals)/subplots_per_fig))for i_fig in range(n_figures):# Select a subset of functions for the current plotfunc_subset = signals[i_fig * subplots_per_fig:(i_fig + 1) * subplots_per_fig]# create a figure to hold this subset of the functionsfig, axes = plt.subplots(subplots_per_fig, 1)axes = axes.ravelfor n, signal in enumerate(func_subset):if signal in ['Gabor', 'sineoneoverx']:# user cannot specify a length for these twox = pywt.data.demo_signal(signal)else:x = pywt.data.demo_signal(signal, signal_length)ax = axes[n]ax.plot(x.real)if signal == 'Gabor':# The Gabor signal is complex-valuedax.plot(x.imag)ax.legend(['Gabor (Re)', 'Gabor (Im)'], loc='upper left')else:ax.legend([signal, ], loc='upper left')# omit axes for any unused subplotsfor n in range(n + 1, len(axes)):axes[n].set_axis_offplt.show