Imputation using central tendency

import pandas as pd

def impute_central_tendency(dataframe, column):
  central_tendency = ["mean", "median", "mode"]
  impute_df = pd.DataFrame()
  impute_column = dataframe[column]

  # Impute null values using cental tendency
  for stat in central_tendency:
    if stat == "mode":
      impute_df[stat] = eval(f"impute_column.fillna(value=impute_column.mode()[0])")
    else:
      impute_df[stat] = eval(f"impute_column.fillna(value=impute_column.{stat}())")

  # Round all answers to nearest integer
  round_impute = impute_df.round(0).astype(int)

  return round_impute