Vfrdtyky

I'm trying to combine 3 datasets in one plot. Each dataset has it's own y and x error. I'm receiving this error message:

Traceback (most recent call last):

  File "SED_plot.py", line 310, in <module>

    plt.errorbar(x0, y0, xerr=x0err, linestyle='None', ecolor="black", label= "Channel Width")

  File "/Library/Python/2.7/site-packages/matplotlib-override/matplotlib/pyplot.py", line 2766, in errorbar

    errorevery=errorevery, capthick=capthick, **kwargs)

  File "/Library/Python/2.7/site-packages/matplotlib-override/matplotlib/axes/_axes.py", line 2749, in errorbar

    in cbook.safezip(x, xerr[0])]

  File "/Library/Python/2.7/site-packages/matplotlib-override/matplotlib/cbook.py", line 1479, in safezip

    raise ValueError(_safezip_msg % (Nx, i + 1, len(arg)))

ValueError: In safezip, len(args[0])=16 but len(args[1])=48

when I run this code:

x0, y0          = x_val_all[0:16], y_val_all[0:16]

x0err, y0err    = x_error_all[0:16], y_error_all[0:16]

x1, y1          = x_val_all[17:33], y_val_all[17:33]

x1err, y1err    = x_error_all[17:33], y_error_all[17:33]

x2, y2          = x_val_all[33:49], y_val_all[33:49]

x2err, y2err    = x_error_all[33:49], y_error_all[33:49]



plt.errorbar(x0, y0, xerr=x0err, linestyle='None', ecolor="black", label= "Channel Width")

plt.errorbar(x0, y0, yerr=y0err, linestyle='None', ecolor="black", label= "Standard Deviation")

plt.errorbar(x1, y1, xerr=x1err, yerr=y1err, ecolor="red")

plt.errorbar(x2, y2, xerr=x2err, yerr=y2err, ecolor="purple")

plt.show()

Could it be that list slicing isn't working in this case? All the x values and y values are in one list each (x_val_all, y_val_all respectively) and so are the corresponding errors.

Sample code to reproduce:

import matplotlib.pyplot as plt



y = range(0,21,1)

x = range(0,21,1)

y_err = [0.5]*21



x_low = [0.7]*21

x_upper = [1.4]*21

x_err = [x_low, x_upper]





plt.errorbar(x[0:7],y[0:7], xerr=x_err[0:7], yerr=y_err[0:7], linestyle="none", color="black")

plt.errorbar(x[8:15],y[8:15], xerr=x_err[8:15], yerr=y_err[8:15], linestyle="none", color="red")



plt.show()

Indexing x_err is the root cause of your error, as this is a list of two elements. My personal preference to fix this would be to use a list comprehension:

import matplotlib.pyplot as plt



y = range(0,21,1)

x = range(0,21,1)

y_err = [0.5]*21



x_low = [0.7]*21

x_upper = [1.4]*21

x_err = [x_low, x_upper]



plt.errorbar(x[0:7], y[0:7], xerr=[_x[0:7] for _x in x_err], yerr=y_err[0:7], linestyle="none", color="black")

plt.errorbar(x[8:15], y[8:15], xerr=[_x[8:15] for _x in x_err], yerr=y_err[8:15], linestyle="none", color="red")



plt.show()

(Note the use of _x within the list comprehension - list comprehension leaks into the local scope in Python 2.7, which would overwrite the earlier x variable if we used x as the variable within the comprehension.)

You could also do:

plt.errorbar(x[0:7], y[0:7], xerr=[x_err[0][0:7], x_err[1][0:7]], yerr=y_err[0:7], linestyle="none", color="black")

plt.errorbar(x[8:15], y[8:15], xerr=[x_err[0][8:15], x_err[1][8:15]], yerr=y_err[8:15], linestyle="none", color="red")

although this is a little more verbose.

Have a look at the docs you are presenting the x_error wrong, the list needs to be 2x7 however the way you slice it does does not produce that result. You are slicing a len 2 list with range 7. The code below gives you the plot you want

import matplotlib.pyplot as plt

y = range(0,21,1)

x = range(0,21,1)

y_err = [0.5]*21



x_low = [0.7]*21

x_upper = [1.4]*21

x_err = [x_low, x_upper]



fig, ax = plt.subplots()

idx = range(0, 16, 7)

for start, stop in zip(idx[:-1], idx[1:]):

    ax.errorbar(x[start:stop], y[start:stop], y_err[start:stop], 

                [ i[start:stop] for i in x_err])

Edit: for errors like this I recommend using numpy as its array allow you to easily check dimension and index into them easier than lists of lists.