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    <p>The problem is that <code>UOGRD</code> (and probably <code>VOGRD</code> too) contains too many dimensions. You need to reduce the number of dimensions by slicing it. However, given the current information, I cannot instruct you which dimension to remove. </p> <p>However, you should convert the <code>lat</code>, <code>lon</code>, <code>UOGRD</code> and <code>VOGRD</code> to <code>np.array</code> using the command and print out each array's shape</p> <pre><code>UOGRD = np.array(UOGRD) print UOGRD.shape </code></pre> <p>Do this for all 4 of your arrays. This will print out tuples <code>(d1_length, d2_length, ..., dn_length)</code>. </p> <p>If we know the dimensionality of <code>lat=N</code> and <code>lon=M</code>, we should hope that the dimensions of <code>UOGRD</code> will be something like <code>(N, M, x, y, z)</code> and we can slice out the dimensions we don't need. </p> <p><strong>EDIT:</strong></p> <p>From the shape functions in your, it shows us that <code>uin</code> and <code>vin</code> are both 3 dimensional. And you can see that <code>len(lat) = 321</code>, <code>len(lon) = 720</code> and both <code>uin</code> and <code>vin</code> have dimensions <code>(x, 321, 720)</code>. That means we want to plot the last two dimensions of <code>uin</code> and <code>vin</code>. Therefore, try this</p> <pre><code>uin = nc.variables['UOGRD_GDSO_DBSL'] uin = np.array(uin) uin = uin[0, :, :] vin = nc.variables['vOGRD_GDSO_DBSL'] vin = np.array(vin) vin = vin[0, :, :] </code></pre> <p>Do not do <code>uin = uin.shape</code> as that will set <code>uin = (4, 321, 720)</code> instead of your data. The only thing is, we have to figure out is which index we should put in the slicing. Try <code>[0,:,:]</code> then <code>[1,:,:]</code> ... <code>[3,:,:]</code>. </p>
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    1. POPlotting currents data on a map : Too many value to unpack error
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    1. COThanks for your help Bill, post is updated once again if it doesn't matter you to help me again
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    2. COI didn't see what's the use of the shape function, so I removed it in my code but still the same error : to many value to unpack (and btw I sliced the wrong data, I changed with [:0])
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    3. COEdited my comment.
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