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 <[email protected]>
To: Discussion of Numerical Python <[email protected]>
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 <[email protected]>
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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