def get_traindata(self) -> np.ndarray:
        """
        Pulls all available data and concatenates for model training

        :return: 2d array of points
        """
        traindata = None
        for key, value in self.data.items():
            if key not in ['__header__', '__version__', '__globals__']:
                if traindata is None:
                    traindata = value[np.where(value[:, 4] != 0)]
                else:
                    traindata = np.concatenate((traindata, value[np.where(value[:, 4] != 0)]))
        return traindata
Pulls all available data and concatenates for model training

        :return: 2d array of points