regi0.taxonomic.iucn
- regi0.taxonomic.iucn.get_common_names(names: Union[list, pandas.Series, str], token: str, add_supplied_names: bool = False, expand: bool = True)
Gets common names for multiple species using the IUCN API.
- Parameters
names (list, Series or str) – Scientific name(s) to get results for.
token (str) – IUCN API authentication token.
add_supplied_names (bool) – Add supplied scientific names to the resulting DataFrame.
expand (bool) – Whether to expand result rows to match names size. If False, the number of rows will correspond to the number of unique names in names.
- Returns
DataFrame with common names.
- Return type
DataFrame
- regi0.taxonomic.iucn.get_country_occurrence(names: Union[list, pandas.Series, str], token: str, add_supplied_names: bool = False, expand: bool = True) pandas.DataFrame
Gets country occurrence and related information for multiple species using the IUCN API.
- Parameters
names (list, Series or str) – Scientific name(s) to get results for.
token (str) – IUCN API authentication token.
add_supplied_names (bool) – Add supplied scientific names to the resulting DataFrame.
expand (bool) – Whether to expand result rows to match names size. If False, the number of rows will correspond to the number of unique names in names.
- Returns
DataFrame with information about country occurrence for each name.
- Return type
DataFrame
- regi0.taxonomic.iucn.get_species_info(names: Union[list, pandas.Series, str], token: str, add_supplied_names: bool = False, expand: bool = True) pandas.DataFrame
Gets IUCN category and miscellaneous information for multiple species using the IUCN API.
- Parameters
names (list, Series or str) – Scientific name(s) to get results for.
token (str) – IUCN API authentication token.
add_supplied_names (bool) – Add supplied scientific names to the resulting DataFrame.
expand (bool) – Whether to expand result rows to match names size. If False, the number of rows will correspond to the number of unique names in names.
- Returns
DataFrame with IUCN species information for each name.
- Return type
DataFrame