In a message of Fri, 13 Nov 2015 14:04:01 +0000, Oscar Benjamin writes: >On 13 November 2015 at 08:34, Laura Creighton <l...@openend.se> wrote: >> In a message of Thu, 12 Nov 2015 17:54:28 -0800, Abhishek writes: >>>I am trying to run some Python code for the last few hours. How can I >>>achieve the effect of "dot divide" from Matlab, in the following code? I am >>>having trouble working with list comprehension and numpy arrays and getting >>>the following error: >>> >>> Traceback (most recent call last): >>> File "Thurs.py", line 128, in <module> >>> plt.plot(np.array(range(1,N/2+2)), >>> Splot[alpha][iii,val]/utot[iii,val],color=cmap(iii/50)) >>> >>> ValueError: x and y must have same first dimension >> >> Splot is a list. matplotlib wants 2 numpy arrays. You have to cast >> it with np.array() too. > >Actually the plot command is perfectly happy converting lists or lists >of lists etc. to arrays (by calling np.array internally) so you don't >need to convert any of your inputs. By the way: np.arange(1, N/2+2) >would be the usual way to create a numpy array that is a range. > >The error here comes because (after both arguments are converted to >arrays) they have incompatible sizes. In other words: > > len(range(1,N/2+2)) != len(Splot[alpha][iii,val]/utot[iii,val]) > >I'm not sure what the solution is as the code is too complex for me to >spend time trying to guess what it's trying to do. > >-- >Oscar
I am sorry for the bad information. Thank you Oscar. Laura -- https://mail.python.org/mailman/listinfo/python-list
