get_dictionary_properties_file_path ()
*Get the file path for dictionary properties - TODO: move to config file or DB. At this point only includes field_type properties.
Args:
Returns: str: the path to the file*
get_data_coding_file_path ()
*Get the file path for dictionary properties - TODO: move to config file or DB. At this point only includes field_type properties.
Args:
Returns: str: the path to the file*
generate_synthetic_data (n:int=1000)
*Generates a sample DataFrame containing age, gender, and value data.
Args: n: The number of rows in the generated DataFrame.
Returns: A pandas DataFrame with columns ‘age’, ‘gender’, and ‘val’.*
generate_synthetic_data_like (df:pandas.core.frame.DataFrame, n:int=1000, random_seed:int=42)
*Generate a sample DataFrame containing the same columns as df, but with random data.
Args:
df: The DataFrame whose columns should be used.
n: The number of rows in the generated DataFrame.Returns: A pandas DataFrame with the same columns as df.*
generate_categorical_synthetic_data (n:int=1000)
*Generates a sample DataFrame containing age, gender, and categorical value data.
Args: n: The number of rows in the generated DataFrame.
Returns: A pandas DataFrame with columns ‘age’, ‘gender’, and ‘val1’.*
| date_of_research_stage | age_at_research_stage | sex | val1 | val2 | |
|---|---|---|---|---|---|
| participant_id | |||||
| 0 | 2020-11-16 | 54.422828 | 1 | 103.721478 | 48.846734 |
| 1 | 2021-06-08 | 65.232948 | 0 | 129.512280 | 54.583974 |
| 2 | 2020-08-16 | 42.413863 | 1 | 114.878851 | 52.193946 |
| 3 | 2021-04-13 | 57.872618 | 1 | 113.653117 | 51.826225 |
| 4 | 2023-07-17 | 70.640233 | 1 | 129.669937 | 56.631272 |
| date_of_research_stage | age_at_research_stage | sex | val1 | val2 | |
|---|---|---|---|---|---|
| participant_id | |||||
| 0 | 2020-08-16 | 57.872618 | 1 | 113.653117 | 48.846734 |
| 1 | 2021-04-13 | 65.232948 | 1 | 103.721478 | 56.631272 |
| 2 | 2023-07-17 | 42.413863 | 1 | 129.669937 | 54.583974 |
| 3 | 2021-06-08 | 54.422828 | 0 | 114.878851 | 52.193946 |
| 4 | 2020-11-16 | 70.640233 | 1 | 129.512280 | 51.826225 |