[Matplotlib-users] invert columns and labels

[vincent.adrien at gmail.com]

Hi Alberto,

Without an small example of the arrays *data* and *indices* (as well as 
possibly *Ef*) or a more precise description of their shape and 
dimensions, I have to admit that it is a bit difficult (at least for me) 
to understand precisely what you are trying to plot and to invert.

For what I understood, I wonder if you are not just looking for 
something like ``sigma[:, i, i][::-1]`` (more information on slicing 
here: 
https://docs.scipy.org/doc/numpy-1.13.0/reference/arrays.indexing.html#basic-slicing-and-indexing), 
I may just have missed the point. Beware that you may also have to flip 
the *labels*.

Best regards,
Adrien

On 04/16/2018 07:25 AM, alberto wrote:
> Hi,
> I use this command to calculate an array of 3x3 matrices
> 
> sigma = data[indices, 3:12].reshape((-1, 3, 3))
> 
> to return
> 
> # Plot the xx, yy and zz components as a function of the first column
> plt.figure()
> labels = ("xx", "yy", "zz")
> for i, label in enumerate(labels):
>      plt.plot(Ef, sigma[:, i, i], label=label)
> plt.legend(loc="best")
> plt.xlabel(r"Energy [eV]")
> plt.ylabel(r"$\sigma$ [1/$\Omega$ m s]")
> plt.tight_layout()
> plt.show()
> 
> 
> How could invert the results xx to zz?
> 
> something as data[indices, 12:3]?
> 
> regards
> 
> Alberto
> 
> 
> 
> 
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