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
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