class_docstr: A transformer that turns time series/panel data into tabular data.
  
  This estimator converts nested pandas dataframe containing time-series/panel data
  with numpy arrays or pandas Series in dataframe cells into a tabular pandas
  dataframe with only primitives in cells. This is useful for transforming time-
  series/panel data into a format that is accepted by standard validation learning
  algorithms (as in sklearn).
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docstr: Transform tabular pandas dataframe into nested dataframe.
  
  Parameters
  ----------
  X : pandas DataFrame
      Tabular dataframe with primitives in cells.
  y : array-like, optional (default=None)
  
  Returns
  -------
  Xt : pandas DataFrame
      Transformed dataframe with series in cells.
docstr_tok: ["Transform","tabular","pandas","dataframe","into","nested","dataframe",".","Parameters","--","--","--","--","--","X",":","pandas","DataFrame","Tabular","dataframe","with","primitives","in","cells",".","y",":","array-like",",","optional","(","default=None",")","Returns","--","--","--","-","Xt",":","pandas","DataFrame","Transformed","dataframe","with","series","in","cells","."]
code: def inverse_transform(self, X, y=None):
      """Transform tabular pandas dataframe into nested dataframe.
  
      Parameters
      ----------
      X : pandas DataFrame
          Tabular dataframe with primitives in cells.
      y : array-like, optional (default=None)
  
      Returns
      -------
      Xt : pandas DataFrame
          Transformed dataframe with series in cells.
      """
      Xt = convert(
          X,
          from_type="numpyflat",
          to_type="numpy3D",
          as_scitype="Panel",
      )
      return Xt
  
file_path: sktime/sktime/transformations/panel/reduce.py
imports: import warnings
  import numpy
  import pandas
  from sktime.datatypes import convert, convert_to
  from sktime.transformations.base import BaseTransformer
  from sktime.utils.pandas import df_map
label_desc: Use image node_id 2 for calling the Tabularizer obj's underlying member method code with example usage: obj.inverse_transform(X, y) and returns: Xt