def showResult(date, scales, power, time_scale, window, file_name):
# y_ticks = np.arange(0, 15, 2)
import matplotlib.ticker as mticker
import matplotlib.dates as mdates
fig, ax = plt.subplots()
ax.xaxis.set_major_locator(YearLocator(time_scale))
# ax.set_yticks(y_ticks)
ax.xaxis.set_major_locator(mticker.MaxNLocator(5))
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))
ax.contourf(date, scales, power, 100)
# ax.set_yscale('log')
print("Wavelet saved to", file_name)
fig.savefig(file_name)
# fig.show()
# fig.waitforbuttonpress()
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