Minor: rename function

dbnomics/__init__.py

@@ -184,7 +184,7 @@ def fetch_series_by_api_link(api_link, max_nb_series=None,
     Example:
       fetch_series(api_link="https://api.db.nomics.world/v22/series?provider_code=AMECO&dataset_code=ZUTN")
     """
-    # Call API via `iter_series`, add dimensions labels and store result in `series_list`. Fill `datasets_dimensions`
+    # Call API via `iter_series_infos`, add dimensions labels and store result in `series_list`. Fill `datasets_dimensions`
     datasets_dimensions = None
     series_dims_by_dataset_code = defaultdict(dict)
     # series_dims_by_dataset_code example:
@@ -197,7 +197,7 @@ def fetch_series_by_api_link(api_link, max_nb_series=None,
     #        ...
     #    }
     series_list = []
-    for series_infos in iter_series(api_link, max_nb_series=max_nb_series):
+    for series_infos in iter_series_infos(api_link, max_nb_series=max_nb_series):
         complete_dataset_code = series_infos['series']['provider_code'] + \
             '/' + series_infos['series']['dataset_code']  # ex 'AMECO/ZUTN'
         if datasets_dimensions is None:
@@ -334,7 +334,7 @@ def iter_filtered_series(series_list, filters, apply_endpoint_url):
             yield flatten_editor_series(series=filter_result["series"], dbnomics_series=dbnomics_series)
 
 
-def iter_series(api_link, max_nb_series=None):
+def iter_series_infos(api_link, max_nb_series=None):
     """Iterate through series.docs returned by API
     Returns dicts of dataset(s) dimensions and series.
     The answer can have a key 'dataset_dimensions' if only one dataset is returned by API, or 'datasets_dimensions' if