Color each errorbar with different color

Question

I'm trying to plot an errorbar graph where each error bar may be either, say, red or green depending on whether the statistics used to compute the bar are significant.
I tried using an array of colors as an input to the c parameter, but that didn't work.

Does anyone know how to do that?

Here is the code that I have so far:

yerrs = np.array([quantiles[:,2],quantiles[:,3]])
print yerrs.shape
colors = ['r', 'b'] * (yerrs.shape[1]/2)
fig, axes = plt.subplots(nrows=2, sharex=True, sharey=True)
axes[0].errorbar(quantiles[:,0],quantiles[:,1], yerr=yerrs, c=colors)
axes[0].axhline(0, color='black')
axes[0].axvline(0, color='black')
axes[0].set_title('Fitted dist')

I then get the error:

ValueError: to_rgba: Invalid rgba arg "['r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b', 'r', 'b']"
could not convert string to float: r

Answer 1

separate your data array into two groups and use "ecolor" to specify errorbar color.

axes[0].errorbar(x1, y1, yerr=yerr1, ecolor="r")
axes[0].errorbar(x2, y2, yerr=yerr2, ecolor="b")

How to separate data into portions 1 and 2 should be trivial to you, but let me know if you are uncertain.