Esempio n. 1
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def test_cells_xml_to_dataframe():
    cells_df = cell_io.cells_xml_to_df(xml_path)
    assert len(cells_df) == 65
    assert cells_df.type.tolist() == type_vals
    assert cells_df.x.tolist() == x_vals
    assert cells_df.y.tolist() == y_vals
    assert cells_df.z.tolist() == z_vals
def get_cell_arrays(cells_file):
    df = cells_xml_to_df(cells_file)

    non_cells = df[df["type"] == Cell.UNKNOWN]
    cells = df[df["type"] == Cell.CELL]

    cells = cells_df_as_np(cells)
    non_cells = cells_df_as_np(non_cells)
    return cells, non_cells
Esempio n. 3
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def get_cell_labels_arrays(cells_file,
                           new_order=[2, 1, 0],
                           type_column="type"):
    df = cells_xml_to_df(cells_file)

    labels = df[type_column]
    labels = labels.to_numpy()
    cells_df = df.drop(columns=[type_column])
    cells = cells_df[cells_df.columns[new_order]]
    cells = cells.to_numpy()

    # convert to boolean
    labels = labels == 2
    return cells, labels