packflow.utils package
Subpackages
Submodules
packflow.utils.data module
- packflow.utils.data.flatten_dict(obj, delimiter='.', flatten_lists=False)[source]
Create a flattened dictionary from a nested object.
- Parameters:
obj (dict)
delimiter (str) – Default ‘.’
flatten_lists (bool) – Default False
- Returns:
Flattened dictionary.
- Return type:
dict
- packflow.utils.data.flatten_records(records, delimiter='.', flatten_lists=False)[source]
Flatten a list of dictionaries
- Parameters:
records (List[dict])
delimiter (str) – Default ‘.’
flatten_lists (bool) – Default False
- Returns:
Flattened records.
- Return type:
List[dict]
- packflow.utils.data.get_nested_field(obj, field, delimiter=None)[source]
Retrieves a single nested field from a dictionary given a field name.
Example: get_nested_field({“foo”: {“bar”: 5}}, ‘foo.bar’) -> 5
- Parameters:
obj (dict) – An arbitrary dictionary of data
field (str) – The key name to retrieve where subfields are split by $delimiter
- Returns:
The value retrieved from the nested key
- Return type:
Any
- packflow.utils.data.records_to_ndarray(records, feature_names, dtype=None, delimiter=None)[source]
Converts records to a numpy nd array
Example
in: [{“num”: 1, “num2”: 1}, {“num”: 2, “num”: 2}] args: feature_names=[“num”, “num2”] out: np.array([[1, 1], [2, 2]])
- Parameters:
records (List[Dict]) – A list of dictionary items to be converted
feature_names (List[str]) – The values to extract for each row
dtype (str) – The numpy data type to coerce the array to. Defaults to ‘float32’
- Return type:
numpy.ndarray