Python client - Add dimensions labels to dataframes
- As a Python client user
- I want to see dimensions labels and dimensions values labels in the dataframe
- in order to create nice charts (for example).
- The downloaded dataframe MUST have a column for each dimension which header is the dimension label, and the body cells are the dimensions values labels
- The tutorial notebook MUST be updated
After the commit corresponding to the feature addition, update the link to Binder in the README to use the previous commit SHA-1 (because it is not possible for now with Binder to specifyNow Binder supports any Git repo!
masterbranch, see https://github.com/jupyterhub/binderhub/issues/675)
As an example, I'll take the first request of tutorial notebook
Corresponding series in DBnomics UI is here: https://db.nomics.world/AMECO/ZUTN?dimensions=%7B%22freq%22%3A%5B%22a%22%5D%2C%22geo%22%3A%5B%22ea19%22%5D%7D&q=EA184.108.40.206.0.ZUTN
|annual||AMECO||ZUTN||Unemployment rate: total :- Member States: def...||EA220.127.116.11.0.ZUTN||Annually – (Percentage of active population) –...||1960||1960-01-01||NA||NaN||a||ea19||percentage-of-active-population|
We'll keep all those columns as it and add to the end:
|Annualy||Percentage of active population||Euro area|