code: def convert_from_dictionary(ts_dict):
      """Conversion from dictionary to pandas.
  
      Simple conversion from a dictionary of each series, e.g. univariate
          x = {
              "Series1": [1.0,2.0,3.0,1.0,2.0],
              "Series2": [3.0,2.0,1.0,3.0,2.0],
          }
      or multivariate, e.g.
      to sktime pandas format
      TODO: Adapt for multivariate
      """
      panda = pd.DataFrame(ts_dict)
      panda = panda.transpose()
      return from_2d_array_to_nested(panda)
  
imports: import numpy
  import pandas
  from sktime.datatypes._convert_utils._coerce import _coerce_df_dtypes
  from sktime.datatypes._convert_utils._convert import _extend_conversions
  from sktime.datatypes._panel._registry import MTYPE_LIST_PANEL
  from sktime.utils.pandas import df_map
  from sktime.utils.validation._dependencies import _check_soft_dependencies
label_desc: Use image node_id 15 for calling a global function with example usage: convert_from_dictionary(ts_dict) and returns: from_2d_array_to_nested