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cwt: log scales in docstring example #802

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cwt: log scales in docstring example #802

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9 changes: 5 additions & 4 deletions pywt/_cwt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -81,9 +81,10 @@ def cwt(data, scales, wavelet, sampling_period=1., method='conv', axis=-1):
>>> import pywt
>>> import numpy as np
>>> import matplotlib.pyplot as plt
>>> x = np.arange(512)
>>> y = np.sin(2*np.pi*x/32)
>>> coef, freqs=pywt.cwt(y,np.arange(1,129),'gaus1')
>>> x = np.exp(np.linspace(0, 2, 512))
>>> y = np.cos(2*np.pi*x) # exponential chirp
>>> scales = np.logspace(np.log10(1), np.log10(128), 128)
>>> coef, freqs=pywt.cwt(y,scales,'gaus1')
>>> plt.matshow(coef)
>>> plt.show()

Expand All @@ -92,7 +93,7 @@ def cwt(data, scales, wavelet, sampling_period=1., method='conv', axis=-1):
>>> import matplotlib.pyplot as plt
>>> t = np.linspace(-1, 1, 200, endpoint=False)
>>> sig = np.cos(2 * np.pi * 7 * t) + np.real(np.exp(-7*(t-0.4)**2)*np.exp(1j*2*np.pi*2*(t-0.4)))
>>> widths = np.arange(1, 31)
>>> widths = np.logspace(np.log10(1), np.log10(30), 30)
>>> cwtmatr, freqs = pywt.cwt(sig, widths, 'mexh')
>>> plt.imshow(cwtmatr, extent=[-1, 1, 1, 31], cmap='PRGn', aspect='auto',
... vmax=abs(cwtmatr).max(), vmin=-abs(cwtmatr).max())
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