Lossy#

dace_query.lossy.lossy.Lossy: LossyClass = <dace_query.lossy.lossy.LossyClass object>#

This is a singleton instance of the LossyClass class.

To use it, simply import it :

from dace_query.lossy import Lossy
class dace_query.lossy.lossy.LossyClass(dace_instance=None)#

Bases: object

The lossy class. Use to retrieve data from the lossy module.

Tip

A lossy instance is already provided, to use it :

from dace_query.lossy import Lossy
get_sample(sample_id, output_format=None)#

Get the data for a specific sample.

Parameters:

  • sample_id (str) – The sample to retrieve data from.

  • output_format (dict[str, ndarray] or DataFrame or Table or dict) – Type of data returns

Returns:

The desired data in the chosen output format

Return type:

dict[str, ndarray] or DataFrame or Table or dict

Getting sample data for a given sample id
from dace_query.lossy import Lossy
sample_id_to_retrieve = 'SAMPLE_Ice_LN2_11_20140221_000'
values = Lossy.get_sample(sample_id=sample_id_to_retrieve)
query_database(limit=10000, filters=None, sort=None, output_format=None)#

Query the lossy database to retrieve data in the chosen format.

Filters and sorting order can be applied to the query via named arguments (see Filtering and sorting).

All available formats are defined in this section (see Output formats).

Parameters:

  • limit (Optional[int]) – Maximum number of rows to return

  • filters (Optional[dict]) – Filters to apply to the query

  • sort (Optional[dict]) – Sort order to apply to the query

  • output_format (Optional[str]) – Type of data returns

Returns:

The desired data in the chosen output format

Return type:

dict[str, ndarray] or DataFrame or Table or dict

Getting all data from the lossy database
from dace_query.lossy import Lossy
values = Lossy.query_database()