labelmap 0.0.1

Generate label maps from CSV files

LabelMap

Generate label maps for ML/DL Projects

Usage

• With CSV file

  from labelmap import LabelMap
  
  label_map = LabelMap(labels_csv="path-to-csv", labels_col_name="labels")   
  
  label_map.info() # print label map
  

• With CSV file and exclude some labels

  from labelmap import LabelMap
  
  label_map = LabelMap(labels_csv="path-to-csv", labels_col_name="labels", exclude_labels=["cat", "dog"])    
  
  label_map.info() # print label map
  

• Without CSV file

  from labelmap import LabelMap
  
  label_map = LabelMap()
  
  label_map.add("cat")
  label_map.add("dog")
  
  label_map.info() # print label map
  

Parameters in LabelMap class

• labels_csv : str
  • The path to the csv file containing the labels and ids.
  • Not Required, default = None
• labels_col_name : str
  • The name of the column containing the labels.
  • Required if labels_col_name is set, default = None
• ids_col_name : str
  • The name of the column containing the ids.
  • Not Required, default = None
• id_type : int/float
  • The type of the ids.
  • Not Required, default = int
• exclude_labels : list
  • The labels to exclude from the label map.
  • Not Required, default = None

Methods in LabelMap class

• add(label)

  • Add a label to the label map.
  • Args: label -> str
  • Return Type: None

• force_get(label)

  • Get the id of a label or if id not found then add the label and get.
  • Args: label -> str
  • Return Type: None

• to_text(id)

  • Get the label of an id.
  • Args: id -> int/ float
  • Return Type: str

• to_id(label)

  • Get the id of a label.
  • Args: label -> str
  • Return Type: int/ float

• map()

  • Get the label map as dict.
  • Args: None
  • Return Type: dict

• labels()

  • Get the list of labels.
  • Args: None
  • Return Type: list

• info()

  • Print the label map as table.
  • Args: None
  • Return Type: None

• count()

  • Get the number of labels.
  • Args: None'
  • Return Type: int

• as_dataframe()

  • Label data dictionary to pandas dataframe.
  • Args: None
  • Return Type: pandas.DataFrame

• save_csv(path)

  • label data dictionary save to csv file.
  • Args: path -> str
  • Return Type: None