Constructs a DatasetInfo object from a pandas DataFrame.
| Input Parameters | Type | Default | Description |
|---|---|---|---|
| df | Union [pd.Dataframe, list] | Either a single pandas DataFrame or a list of DataFrames. If a list is given, all dataframes must have the same columns. | |
| display_name | str | ' ' | A display_name for the dataset |
| max_inferred_cardinality | Optional [int] | 100 | If specified, any string column containing fewer than max_inferred_cardinality unique values will be converted to a categorical data type. |
| dataset_id | Optional [str] | None | The unique identifier for the dataset |
import pandas as pd
df = pd.read_csv('example_dataset.csv')
dataset_info = fdl.DatasetInfo.from_dataframe(df=df, max_inferred_cardinality=100)
| Return Type | Description |
|---|---|
| fdl.DatasetInfo | A fdl.DatasetInfo() object constructed from the pandas Dataframe provided. |