Default parameters

The default parameters for the plot types are as follows:

• df: pd.DataFrame (required)
  The dataframe used for the data to plot. Most other parameters are column names in this dataframe (e.g. media, color, etc.).
• media: str (required)
  The column name of the media to display in the plot. See data loading for more information about the type of media that can be displayed.
• show: bool = True
  Whether to show the plot or not. If show is set to True, clusterfun will start a local server to display the plot in a web browser. More specifically, we start a FastAPI server where we mount the webpage as a static file. The application itself does not require an internet connection. All data is loaded locally and does not leave your machine/browser.
  If show is set to False, clusterfun only saves the required data to serve the plot later on and return the path to where the data is stored. If you want to serve the plot yourself later on, you can run clusterfun serve {path - to - data}|{uuid} in the command line to start a local server for the plot you are interested in.
• color: Optional[str] = None
  If given, points will be colored based on the values in the given column. Powerful for visualising clusters or classes of data.
  
• title: Optional[str] = None
  The title to use for the plot.
• bounding_box: Optional[str] = None
  You can visualise bounding boxes on top of your images by with the bounding_box parameter. For this to work, you need to have a bounding box column in the dataframe used to plot the data. Each cell in the dataframe needs to contain a dictionary or a list of dictionaries with bounding box values: xmin, ymin, xmax, ymax, label (optional), color (optional). The keys of the expected dictionary are:
  • xmin: Union[float, int]
  • ymin: Union[float, int]
  • xmax: Union[float, int]
  • ymax: Union[float, int]
  • label: Optional[str] = None
  • color: Optional[str] = None
  If no color is provided, a default color scheme will be used. The color value can be a color name or hex value. The label will be displayed in the top left of the bounding box.
  
  Example:
  Copy code

  single_bounding_box = { 
    "xmin": 12, 
    "ymin": 10, 
    "xmax": 100, 
    "ymax": 110, 
    "color": "green", 
    "label": "ground truth" 
  }