pyhealth.datasets.utils#
Several utility functions.
- pyhealth.datasets.utils.strptime(s)[source]#
Helper function which parses a string to datetime object.
- pyhealth.datasets.utils.padyear(year, month='1', day='1')[source]#
Pad a date time year of format ‘YYYY’ to format ‘YYYY-MM-DD’
- Parameters
year (
str
) – str, year to be padded. Must be non-zero value.month – str, month string to be used as padding. Must be in [1, 12]
day – str, day string to be used as padding. Must be in [1, 31]
- Returns
str, padded year.
- Return type
padded_date
- pyhealth.datasets.utils.flatten_list(l)[source]#
Flattens a list of list.
- Parameters
l (
List
) – List, the list of list to be flattened.- Return type
- Returns
List, the flattened list.
Examples
>>> flatten_list([[1], [2, 3], [4]]) [1, 2, 3, 4]R >>> flatten_list([[1], [[2], 3], [4]]) [1, [2], 3, 4]
- pyhealth.datasets.utils.list_nested_levels(l)[source]#
Gets all the different nested levels of a list.
- Parameters
l (
List
) – the list to be checked.- Return type
- Returns
All the different nested levels of the list.
Examples
>>> list_nested_levels([]) (1,) >>> list_nested_levels([1, 2, 3]) (1,) >>> list_nested_levels([[]]) (2,) >>> list_nested_levels([[1, 2, 3], [4, 5, 6]]) (2,) >>> list_nested_levels([1, [2, 3], 4]) (1, 2) >>> list_nested_levels([[1, [2, 3], 4]]) (2, 3)
- pyhealth.datasets.utils.is_homo_list(l)[source]#
Checks if a list is homogeneous.
- Parameters
l (
List
) – the list to be checked.- Return type
- Returns
bool, True if the list is homogeneous, False otherwise.
Examples
>>> is_homo_list([1, 2, 3]) True >>> is_homo_list([]) True >>> is_homo_list([1, 2, "3"]) False >>> is_homo_list([1, 2, 3, [4, 5, 6]]) False