neurosynth/base/dataset.py
def _sdf_to_csr(self):
        """ Convert FeatureTable to SciPy CSR matrix. """
        data = self.data.to_dense()
        self.data = {
            'columns': list(data.columns),
            'index': list(data.index),
            'values': sparse.csr_matrix(data.values)
        }
def _sdf_to_csr(self):
        """ Convert FeatureTable to SciPy CSR matrix. """
        data = self.data.to_dense()
        self.data = {
            'columns': list(data.columns),
            'index': list(data.index),
            'values': sparse.csr_matrix(data.values)
        }
def _sdf_to_csr ( self ) : data = self . data . to_dense ( ) self . data = { 'columns' : list ( data . columns ) , 'index' : list ( data . index ) , 'values' : sparse . csr_matrix ( data . values ) }
Convert FeatureTable to SciPy CSR matrix.
Convert FeatureTable to SciPy CSR matrix .