code: def __call__(self, df):
      inputs = [df]
      if isinstance(self.value, (SERIES_TYPE, TENSOR_TYPE)):
          value_dtype = self.value.dtype
          inputs.append(self.value)
      else:
          value_dtype = pd.Series(self.value).dtype
  
      empty_df = build_empty_df(df.dtypes)
      empty_df.insert(
          loc=self.loc,
          column=self.column,
          allow_duplicates=self.allow_duplicates,
          value=pd.Series([], dtype=value_dtype),
      )
  
      params = df.params
      params["columns_value"] = parse_index(
          empty_df.columns, store_data=True
      )
      params["dtypes"] = empty_df.dtypes
      params["shape"] = (df.shape[0], df.shape[1] + 1)
      return self.new_dataframe(inputs, **params)
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import AnyField, BoolField, Int64Field
  from ...tensor.core import TENSOR_TYPE, TENSOR_CHUNK_TYPE
  from ..core import SERIES_TYPE, SERIES_CHUNK_TYPE
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_empty_df, parse_index
label_desc: Use image node_id 7 for calling the DataFrameInsert obj's underlying member method code with example usage: obj.__call__(df) and returns: self