Boxplot Generation

class SAES.plots.boxplot.Boxplot(data: DataFrame, metrics: DataFrame, metric: str)

Bases: object

Class to generate boxplots for the performance of different algorithms across multiple instances.

Attributes:

data (pd.DataFrame):

A pandas DataFrame containing the performance results of different algorithms across multiple instances.

metric (str):

The metric to be used for comparison.

instances (np.ndarray):

An array containing the names of the instances.

logger (Logger):

A logger object to record and display log messages.

Methods:

__init__(data: pd.DataFrame, metrics: pd.DataFrame, metric: str):

Initializes the Boxplot object with the given data, metrics, and metric.

save_instance(instance: str, output_path: str):

Generates a boxplot for the specified instance and saves it to the specified output path.

save_all_instances(output_path: str):

Generates a boxplot for all instances and saves it to the specified output path.

show_instance(instance: str):

Generates a boxplot for the specified instance and displays it.

show_all_instances():

Generates a boxplot for all instances and displays it.

save_all_instances(output_path: str, file_name: str = None, width: int = 30) → None

Generates a boxplot for all instances and saves it to the specified output path.

Args:

output_path (str):

The path where the boxplot image will be saved.

file_name (str):

The name of the file to be saved. If None, a default name will be used.

width (int):

The width of the boxplot image.

Returns:

None

Example:

>>> frtom SAES.plots.boxplot import Boxplot
>>> import os
>>> 
>>> data = pd.read_csv("data.csv")
>>> metrics = pd.read_csv("metrics.csv")
>>> metric = "HV"
>>> boxplot = Boxplot(data, metrics, metric)
>>> boxplot.save_all_instances(os.getcwd())

save_instance(instance: str, output_path: str, file_name: str = None, width: int = 8) → None

Generates a boxplot for the specified instance and saves it to the specified output path.

Args:

instance (str):

The name of the instance for which the boxplot is to be generated.

output_path (str):

The path where the boxplot image will be saved.

file_name (str):

The name of the file to be saved. If None, a default name will be used.

width (int):

The width of the boxplot image.

returns:

None

Example:

>>> frtom SAES.plots.boxplot import Boxplot
>>> import os
>>> 
>>> data = pd.read_csv("data.csv")
>>> metrics = pd.read_csv("metrics.csv")
>>> metric = "HV"
>>> boxplot = Boxplot(data, metrics, metric)
>>> boxplot.save_instance("ZDT1", os.getcwd())

show_all_instances(width: int = 30) → None

Generates a boxplot for all instances and displays it.

Args:

width (int):

The width of the boxplot image.

Returns:

None

Example:

>>> frtom SAES.plots.boxplot import Boxplot
>>> import os
>>> 
>>> data = pd.read_csv("data.csv")
>>> metrics = pd.read_csv("metrics.csv")
>>> metric = "HV"
>>> boxplot = Boxplot(data, metrics, metric)
>>> boxplot.show_all_instances()

show_instance(instance: str, width: int = 8) → None

Generates a boxplot for the specified instance and displays it.

Args:

instance (str):

The name of the instance for which the boxplot is to be generated.

width (int):

The width of the boxplot image.

returns:

None

Example:

>>> frtom SAES.plots.boxplot import Boxplot
>>> import os
>>> 
>>> data = pd.read_csv("data.csv")
>>> metrics = pd.read_csv("metrics.csv")
>>> metric = "HV"
>>> boxplot = Boxplot(data, metrics, metric)
>>> boxplot.show_instance("ZDT1")