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Here are some details:

NebulaGraph version is v3.4.0 and the cluster includes 3 machines.

My problem is that how to convert data read by Python to the dataframe format?

def result_to_df(result: ResultSet) -> pd.DataFrame:
    """
    build list for each column, and transform to dataframe
    """
    assert result.is_succeeded()
    columns = result.keys()
    d: Dict[str, list] = {}
    for col_num in range(result.col_size()):
        col_name = columns[col_num]
        col_list = result.column_values(col_name)
        d[col_name] = [x.cast() for x in col_list]
    return pd.DataFrame.from_dict(d, columns=columns)

I tried the function result_to_df of ResultSet, but it does not work.

Lisa Liu
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0 Answers0