input: Write a python function to extract the 10th row from a CSV file using pandas.
  assert extract_10th_row('example1.csv').equals(pd.Series(...))  # replace with the actual 10th row of example1.csv
  assert extract_10th_row('example2.csv').equals(pd.Series(...))  # replace with the actual 10th row of example2.csv
  assert extract_10th_row('example3.csv').equals(pd.Series(...))  # replace with the actual 10th row of example3.csv
output: import pandas as pd
  
  def extract_10th_row(csv_file):
      df = pd.read_csv(csv_file)
      return df.iloc[9]