quick_anomaly_detector.data_process.apply_transformations
- quick_anomaly_detector.data_process.apply_transformations(df, column_name)
Apply logarithm and square transformations to a column in a DataFrame.
- Parameters:
df (pandas.DataFrame) – The pandas DataFrame containing the data.
column_name (str) – The name of the column to transform.
- Returns:
A list of column names including the original column and the transformed columns.
- Return type:
Example
from quick_anomaly_detector.data_process import apply_transformations columns_to_plot = log_sqaure(df, 'column_name')