import spotdesirability.data_utils as du
df_x, df_z = du.load_compressor_data()data_utils.load_compressor_data
data_utils.load_compressor_data()Loads the normalized compressor datasets X and Z.
This function reads df_x_normalized.csv and df_z_normalized.csv from the spotdesirability.datasets module and returns them as pandas DataFrames. The datasets represent the values of \(X\) and \(Z\) respectively.
Returns
| Name | Type | Description |
|---|---|---|
| pd.DataFrame | Tuple[pd.DataFrame, pd.DataFrame]: A tuple containing the datasets X and Z | |
| pd.DataFrame | as pandas DataFrames respectively. |
Raises
| Name | Type | Description |
|---|---|---|
| FileNotFoundError | If the datasets cannot be found. | |
| RuntimeError | If there is an issue reading the CSV data. |