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pythonmatplotlibmatplotlib-widget

How can I properly plot -dBc values in matplotlib?

So I want to plot the amplitudes of the taps of an equalizer like this:

enter image description here

But all of my equalizer tap amplitudes are in -dBc(minus dB carrier). My current code looks like this:

self.ui.mplCoeff.canvas.ax.clear()
rect = 1,24,-100,0
self.ui.mplCoeff.canvas.ax.axis(rect)
self.ui.mplCoeff.canvas.ax.bar(tapIndices,tapAmplitudedBc)

And the result is shown below,which is basically the inverse of what I need. Has anyone got a clue?

enter image description here

Solution

  • Let me start by creating something similar to your plot with some example data:

    import numpy as np
import matplotlib.pyplot as plt

x = np.arange(11)
y = - x**2
plt.bar(x, y)

    This results in the following image:

    Plot like in question

    Now you can use the bottom parameter of matplotlib.pyplot.bar to transform the image to be like the desired one:

    plt.bar(x, 100 + y, bottom = -100)
# or, more general:
# plt.bar(x, -m + y, bottom = m)
# where m is the minimum value of your value array, m = np.min(y)

    Tada:

    Better plot