**Changed**:
- The `to_dataframe()` methods have been updated.
They now return a dataframe without an index by default.
They also now support interpolation of the data.
python
app = AnyPyProcess()
results = app.start_marco(macro_list)
df = results.to_dataframe(
interp_var="Main.MyStudy.Output.Abscissa.t",
interp_val=linspace(0,1,50)
)
**Added**:
- Documentation on how to use the `to_dataframe()` method has been added to the tutorials.