DataLoader

class data_morph.data.loader.DataLoader

Bases: object

Class for loading datasets for morphing.

Datasets currently included in Data Morph. The dino shape is Alberto Cairo’s Datasaurus. All logos are used with permission (see below). Note that CSV files are also supported by the load_dataset() method.

Important

All logos are used with permission.

• The Python logo is a trademark of the Python Software Foundation (PSF), used with permission from the Foundation.

• The SuperDataScience (SDS) logo is used with permission.

AVAILABLE_DATASETS = ['bunny', 'cat', 'dino', 'dog', 'gorilla', 'music', 'panda', 'pi', 'Python', 'SDS', 'sheep', 'soccer']

List of available built-in starter datasets, which can be visualized with plot_available_datasets().

Type:

list[str]

classmethod load_dataset(dataset: str, scale: Number | None = None) → Dataset

Load dataset.

Parameters:

• dataset (str) – Either one of AVAILABLE_DATASETS or a path to a CSV file containing two columns: x and y.

• scale (numbers.Number, optional) – The factor to scale the data by (can be used to speed up morphing). Values in the data’s x and y columns will be divided by this value.

Returns:

The starting dataset for morphing.

Return type:

Dataset

Notes

If you are looking to create a Dataset from a DataFrame object, use the Dataset class directly.

classmethod plot_available_datasets() → Axes

Plot the built-in datasets.

Returns:

The Axes object containing the plot.

Return type:

matplotlib.axes.Axes

See also

AVAILABLE_DATASETS

The list of available datasets built into Data Morph.