code: def bind_rows(df, other, join='outer', ignore_index=False):
      
  
      df = pd.concat([df, other], join=join, ignore_index=ignore_index, axis=0)
      return df
docs: Binds DataFrames "vertically", stacking them together. This is equivalent
      to `pd.concat` with `axis=0`.
  
      Args:
          df (pandas.DataFrame): Top DataFrame (passed in via pipe).
          other (pandas.DataFrame): Bottom DataFrame.
  
      Kwargs:
          join (str): One of `"outer"` or `"inner"`. Outer join will preserve
              columns not present in both DataFrames, whereas inner joining will
              drop them.
          ignore_index (bool): Indicates whether to consider pandas indices as
              part of the concatenation (defaults to `False`).