Hi,

I’ve performed ld calculation on a small set of variants using the following formula:

`ld_mat = vds.filter_intervals(Interval.parse('1:START-3M')).ld_matrix()`

I’m looking for a way to export this matrix to pandas, using va.rsid to name rows and columns.

I’ve tried .to_local_matrix() but I’m unfamiliar with the resulting format and how to convert it to pandas.

```
ld_mat.to_local_matrix()
DenseMatrix(8, 8, [1.0, 0.1518, -0.0191, -0.0103, -0.0271, 0.0284, 0.0603, -0.103, ..., -0.103, -0.0231, 0.0143, 0.0399, 0.0502, 0.0208, -0.1352, 1.0], False)
```

Any tip?

Thanks,

Steph