Current jupy template dying

[nesnoj]

Creating jupy nb via papermill I get (current dev) for several scenarios:

02:11:49-WARNING: Scenario NEP2035: An exception of type PapermillExecutionError occurred:
02:11:49-WARNING: 
---------------------------------------------------------------------------
Exception encountered at "In [23]":
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-23-febc06126880> in <module>
----> 1 df_data = results_scns[scenario]['flows_txaxt']['Line loading'].max(level=1).unstack() * 100
      2 df_data = df_data.sort_index(ascending=False)
      3 df_data = pd.DataFrame().from_dict({'line loading': df_data,'free capacity': 100-df_data})
      4 
      5 index = [re.split(r'(\d+)', s) for s in df_data.index]

~/virtualenvs/windnode_abw/lib/python3.8/site-packages/pandas/core/series.py in unstack(self, level, fill_value)
   3548         from pandas.core.reshape.reshape import unstack
   3549 
-> 3550         return unstack(self, level, fill_value)
   3551 
   3552     # ----------------------------------------------------------------------

~/virtualenvs/windnode_abw/lib/python3.8/site-packages/pandas/core/reshape/reshape.py in unstack(obj, level, fill_value)
    412         if is_extension_array_dtype(obj.dtype):
    413             return _unstack_extension_series(obj, level, fill_value)
--> 414         unstacker = _Unstacker(
    415             obj.values,
    416             obj.index,

~/virtualenvs/windnode_abw/lib/python3.8/site-packages/pandas/core/reshape/reshape.py in __init__(self, values, index, level, value_columns, fill_value, constructor)
    111             raise ValueError("must pass column labels for multi-column data")
    112 
--> 113         self.index = index.remove_unused_levels()
    114 
    115         self.level = self.index._get_level_number(level)

AttributeError: 'Index' object has no attribute 'remove_unused_levels'

02:11:49-WARNING: Scenario NEP2035 skipped...

[nailend]

Ups. Its propably the .unstack() taht shouldnt be there