Data Visualization with Python and JavaScript, 2nd Edition by Kyran Dale

Author:Kyran Dale [Kyran Dale]
Language: eng
Format: epub, pdf
Publisher: O'Reilly Media, Inc.
Published: 2022-12-25T00:00:00+00:00

if not response.status_code == 200: raise Exception('Request failed with status code '\ + str(response.status_code))

And finally we filter the resulting json data array (one dictionary for each model type) for the model type requested and return the result:

data = {} for model_data in response.json(): if model_data['gcm'] == MODELS[model]: data = model_data break return data

We can now use our helper function to retrieve specific data of interest. For example, to find China’s average annual temp, predicted by Australia’s https://www.csiro.au/CSIRO institute, for the period 2020-2019:

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