class_docstr: Padding panel of unequal length time series to equal, fixed length.
  
  Pads the input dataset to either a optional fixed length
  (longer than the longest series).
  Or finds the max length series across all series and dimensions and
  pads to that with zeroes.
  
  Parameters
  ----------
  pad_length  : int, optional (default=None) length to pad the series too.
              if None, will find the longest sequence and use instead.
class_docstr_tok: ["Padding","panel","of","unequal","length","time","series","to","equal",",","fixed","length",".","Pads","the","input","dataset","to","either","a","optional","fixed","length","(","longer","than","the","longest","series",")",".","Or","finds","the","max","length","series","across","all","series","and","dimensions","and","pads","to","that","with","zeroes",".","Parameters","--","--","--","--","--","pad_length",":","int",",","optional","(","default=None",")","length","to","pad","the","series","too",".","if","None",",","will","find","the","longest","sequence","and","use","instead","."]
code: def __init__(self, pad_length=None, fill_value=0):
      self.pad_length = pad_length
      self.fill_value = fill_value
      super().__init__()
  
file_path: sktime/sktime/transformations/panel/padder.py
imports: import numpy
  import pandas
  from sktime.transformations.base import BaseTransformer
  from sktime.utils.pandas import df_map
label_desc: Use image node_id 1 to create a new PaddingTransformer object from inherited base classes: BaseTransformer with example: obj = PaddingTransformer(pad_length, fill_value)