argopy.fetchers.ArgoIndexFetcher.load#
- ArgoIndexFetcher.load(force: bool = False)[source]#
Load index in memory
Apply the default to_dataframe() method and store results in memory. You can access the index array with the index property:
>>> df = ArgoIndexFetcher().float(6902746).load().index
- Parameters:
force (bool) – Force loading, default is False.
- Returns:
Index fetcher with index property in memory
- Return type: