class_docstr: Base probability distribution.
code: def _coerce_to_self_index_df(self, x):
      x = np.array(x)
      x = x.reshape(1, -1)
      df_shape = self.shape
      x = np.broadcast_to(x, df_shape)
      df = pd.DataFrame(x, index=self.index, columns=self.columns)
      return df
  
imports: from warnings import warn
  import numpy
  import pandas
  from sktime.base import BaseObject
  from sktime.utils.pandas import df_map
  from sktime.utils.validation._dependencies import _check_estimator_deps
label_desc: Use image node_id 20 for calling the BaseDistribution obj's underlying member method code with example usage: obj._coerce_to_self_index_df(x) and returns: df