cdsapi | Python API to access the Copernicus Climate Data Store (CDS) | REST library

I was able to reproduce your figure and found that I could add vmin and vmax as shown below. For some reason that meant I also had to specify the colormap, otherwise I ended up with viridis. But the code below works for me (with a bit of refactoring as I got it working — the only material change here is in the plotting section at the bottom).

First, loading the data:

It has been downloaded to your computer, probably to same folder where you run your srript from.

You can also specify different location if you put custom full path instead of 'download.grib'. File can also be found on cds portal in your requests section

Basically, you are trying to assign the output of t2m.get_dims() into 3 variables:

• time_dim,
• lat_dim,
• lon_dim

🚫 However, in reality, the call to t2m.get_dims() returns more than 3 values.
🚫 And that's why you have the error: too many values to unpack

TROUBLESHOOT:

✅ Step 1 > Assign the return value to a list (outputs) > outputs = t2m.get_dims()
✅ Step 2 > Print the outputs to see the list elements > print(outputs)
✅ Step 3 > Find out which indexes correspond to which value of time_dim, lat_dim, lon_dim
✅ Step 4 > Assign the values based on the corresponding index, like: time_dim = outputs[0]

In order to do this I had to edit source code in cdsapi package. This is because API is by default set to search for /.cdsapirc file in local machine. This is file where url and key are stored. This environment and file cannot be reproduced in cloud azure function. What I did is simply setting url and key to empty string in __init__ method inside Client class,and later setting them to appropriate values.

Problem is you were trying to read the File from URL with open(source_blob, "rb") as data: which of course won't work since open is for local files only. I have changed your code as below using requests module to get the remote URL response and set the content to blob.

After searching solutions to the main error message c++: error: unrecognized command line option '-R', I finally found it in this discussion.

What I did was searching for the relevant files using the mighty find method:

After the import, you may check module.__file__ to see where your module came from.

In your particular case, you may check ForecastDownloader.__file__ that should give you the correct file path.