visualization.py 文件源码

def __init__(self, input_data, output_data, name=""):
        # check type and dimensions
        assert isinstance(input_data, list)
        assert isinstance(output_data, np.ndarray)

        # output_data has to contain at least len(input_data) dimensions
        assert len(input_data) <= len(output_data.shape)

        for dim in range(len(input_data)):
            assert len(input_data[dim]) == output_data.shape[dim]

        self.input_data = input_data
        if output_data.size == 0:
            raise ValueError("No initialisation possible with an empty array!")
        self.output_data = output_data
        self.min = output_data.min()
        self.max = output_data.max()
        self.name = name

        # self._interpolator = si.interp2d(input_data[0], input_data[1], output_data, bounds_error=True)