API reference¶
This page provides an auto-generated summary of argopy’s API. For more details and examples, refer to the relevant chapters in the main part of the documentation.
Data Fetchers¶
argopy.DataFetcher |
alias of argopy.fetchers.ArgoDataFetcher |
Search entries¶
argopy.DataFetcher.region (self, box) |
Fetch data from a space/time domain |
argopy.DataFetcher.float (self, wmo, \*\*kw) |
Fetch data from a float |
argopy.DataFetcher.profile (self, wmo, cyc) |
Fetch data from a profile |
Data formats¶
argopy.DataFetcher.to_xarray (self, \*\*kwargs) |
Fetch and return data as xarray.DataSet |
argopy.DataFetcher.to_dataframe (self, \*\*kwargs) |
Fetch and return data as pandas.Dataframe |
Index/meta-data fetchers¶
argopy.IndexFetcher |
alias of argopy.fetchers.ArgoIndexFetcher |
Search entries¶
argopy.IndexFetcher.region (self, box) |
Load index for a rectangular space/time domain region |
argopy.IndexFetcher.float (self, wmo) |
Load index for one or more WMOs |
Data formats¶
argopy.IndexFetcher.to_xarray (self, \*\*kwargs) |
Fetch index and return xr.dataset |
argopy.IndexFetcher.to_dataframe (self, …) |
Fetch index and return pandas.Dataframe |
argopy.IndexFetcher.to_csv (self, file) |
Fetch index and return csv |
Helpers¶
argopy.IndexFetcher.plot (self[, ptype]) |
Create custom plots from index |
Low-level functions¶
argopy.tutorial.open_dataset (name) |
Open a dataset from the argopy online data repository (requires internet). |
argopy.set_options (**kwargs) |
Set options for argopy. |
argopy.show_versions ([file]) |
Print the versions of argopy and its dependencies |
argopy.utilities.open_etopo1 (box[, res]) |
Download ETOPO for a box |
argopy.utilities.urlopen (url) |
Load content from url or raise alarm on status with explicit information on the error |
argopy.utilities.list_available_data_src () |
List all available data sources |
Xarray argo name space¶
-
class
ArgoAccessor
[source]¶ Class registered under scope
argo
to access axarray.Dataset
object.Ensure all variables are of the Argo required dtype with:
ds.argo.cast_types()
Convert a collection of points into a collection of profiles:
ds.argo.point2profile()
Convert a collection of profiles to a collection of points:
ds.argo.profile2point()
-
cast_types
(self)[source]¶ Make sure variables are of the appropriate types
This is hard coded, but should be retrieved from an API somewhere Should be able to handle all possible variables encountered in the Argo dataset
-
filter_data_mode
(self, keep_error:bool=True, errors:str='raise')[source]¶ Filter variables according to their data mode
This applies to <PARAM> and <PARAM_QC>
For data mode ‘R’ and ‘A’: keep <PARAM> (eg: ‘PRES’, ‘TEMP’ and ‘PSAL’) For data mode ‘D’: keep <PARAM_ADJUSTED> (eg: ‘PRES_ADJUSTED’, ‘TEMP_ADJUSTED’ and ‘PSAL_ADJUSTED’)
Parameters: - keep_error: bool, optional
If true (default) keep the measurements error fields or not.
- errors: {‘raise’,’ignore’}, optional
If ‘raise’ (default), raises a InvalidDatasetStructure error if any of the expected dataset variables is not found. If ‘ignore’, fails silently and return unmodified dataset.
Returns:
-
filter_qc
(self, QC_list=[1, 2], drop=True, mode='all', mask=False)[source]¶ Filter data set according to QC values
Mask the dataset for points where ‘all’ or ‘any’ of the QC fields has a value in the list of integer QC flags.
This method can return the filtered dataset or the filter mask.
-
uid
(self, wmo_or_uid, cyc=None, direction=None)[source]¶ UID encoder/decoder
Parameters: - int
WMO number (to encode) or UID (to decode)
- cyc: int, optional
Cycle number (to encode), not used to decode
- direction: str, optional
Direction of the profile, must be ‘A’ (Ascending) or ‘D’ (Descending)
Returns: - int or tuple of int
Examples
unique_float_profile_id = uid(690024,13,’A’) # Encode wmo, cyc, drc = uid(unique_float_profile_id) # Decode