Large int64 rendered as negative number

[sbatururimi]

Hi. If a pandas dataframe column contains large int64 numbers the DataGrid renders some of them as negative numbers.

data = {
    'A': np.random.randint(1e15, 1e18, size=10, dtype='int64'),
    'B': np.random.randint(1e15, 1e18, size=10, dtype='int64'),
}

test_df = pd.DataFrame(data)

grid = DataGrid(test_df, layout={'height': '600px'}, 
                base_column_size=100, 
                base_row_size=32, 
                selection_mode='cell',
               )
grid

While transforming such columns into str solve the problem, it then takes a lot of time to construct and render the DataGrid. Any solution for that?

[andrewgross]

Seems like pandas views the int64 as an unsigned representation, while DataGrid is using a signed representation.