Thanks a lot Benjamin, it did the trick. I have another question, I have ocean section along latitude 0 ( equator) which is sampled at depths. size of the array is 12x14 but this is just the index of the array I need to make a plot which shows depth value as one axis and longitude values as another axis. Is there a quick way to rescale the data to lat depth section by adding a new axis? depth=[0,10,20,30,40,50,60,70,80,90,100,120] lon=[ 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100, 105] In [20]: data.shape Out[20]: (12, 14) can you please advice me on what is the best way to re-scale the data to depth lat dimensions from the indices 1-12 and 1-14 With best regards, Sudheer From: Benjamin Root <ben.root@ou.edu> To: Discussion of Numerical Python <numpy-discussion@scipy.org> Sent: Monday, 4 March 2013 7:40 PM Subject: Re: [Numpy-discussion] reshaping arrays On Sat, Mar 2, 2013 at 11:35 PM, Sudheer Joseph <sudheer.joseph@yahoo.com> wrote: Hi Brad,

I am not getting the attribute reshape for the array, are you having a different version of numpy than mine?

I have In [55]: np.__version__ Out[55]: '1.7.0' and detail of the shape

details of variable

In [57]: ssh?? Type: NetCDFVariable String Form:<NetCDFVariable object at 0x492d3d8> Namespace: Interactive Length: 75 Docstring: NetCDF Variable

In [58]: ssh.shape Out[58]: (75, 140, 180)

ssh?? Type: NetCDFVariable String Form:<NetCDFVariable object at 0x492d3d8> Namespace: Interactive Length: 75 Docstring: NetCDF Variable

In [66]: ssh.shape Out[66]: (75, 140, 180)

In [67]: ssh.reshape(75,140*180) --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) /home/sjo/RAMA_20120807/adcp/<ipython-input-67-1a21dae1d18d> in <module>() ----> 1 ssh.reshape(75,140*180)

AttributeError: reshape

Ah, you have a NetCDF variable, which in many ways purposefully looks like a NumPy array, but isn't. Just keep in mind that a NetCDF variable is merely a way to have the data available without actually reading it in until you need it. If you do: ssh_data = ssh[:] Then the NetCDF variable will read all the data in the file and return it as a numpy array that can be manipulated as you wish. I hope that helps! Ben Root _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion