Superimposing plot over errorbars in matplotlib

Question

I am trying to superimpose a plot over my error bars. I have searched online and this seems to be the method to do this. I am expecting the plot to look the way it does however with thin black lines running between the thick colour lines.

plt.figure(figsize=(15, 10), dpi=80)
plt.grid(True, linewidth=0.5, color='#ff0000', linestyle='-')

for i in range(len(B_arrays)):
    plt.errorbar(T_arrays[i], B_arrays[i], STD_arrays[i], linestyle='None', marker='^', label = labels[i])
    plt.plot(T_arrays[i], B_arrays[i], color = "k")
    
plt.ylabel("B")
plt.xlabel("Time")
plt.legend(loc="upper right", prop={'size': 8})
plt.show()

tdy · Accepted Answer · 2021-12-30 09:42:26Z

1

Use plt.plot for the black lines, but just adjust the zorder:

Either pull the black lines above with zorder > 2

for t, b, std, label in zip(T_arrays, B_arrays, STD_arrays, labels):
    plt.errorbar(t, b, std, linestyle='None', marker='^', label=label)
    plt.plot(t, b, color='k', zorder=3)
    #                         ^^^^^^^^

Or push the error bars below with zorder < 2

for t, b, std, label in zip(T_arrays, B_arrays, STD_arrays, labels):
    plt.errorbar(t, b, std, linestyle='None', marker='^', label=label, zorder=1)
    plt.plot(t, b, color='k')
    #                                                                  ^^^^^^^^

The key value here is 2 because all lines (including error bars) have a default zorder of 2:

Type	Default `zorder`
Images	0
Patches	1
Lines	2
Major ticks	2.01
Text	3
Legend	5

edited Dec 30, 2021 at 9:42

answered Dec 29, 2021 at 0:58

tdy

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Comments

Jeremy Caney · Accepted Answer · 2021-12-28 23:19:59Z

0

I found a solution, however it is not the cleanest way. I'm open to better ways to do this if the community has other approaches.

plt.figure(figsize=(15, 10), dpi=80)
plt.grid(True, linewidth=0.5, color='#ff0000', linestyle='-')

for i in range(len(B_arrays)):
    plt.errorbar(T_arrays[i], B_arrays[i], STD_arrays[i], linestyle='None', marker='^', label = labels[i])
    plt.errorbar(T_arrays[i], B_arrays[i], np.zeros(len(B_arrays[i])),color = "k")
    
plt.ylabel("B")
plt.xlabel("Time")
plt.legend(loc="upper right", prop={'size': 8})
plt.show()

edited Dec 28, 2021 at 23:19

Jeremy Caney

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answered Dec 28, 2021 at 23:03

user12265710

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