code: def acf_plot(data, max_lag=10):
      import matplotlib.pyplot as plt
      import seaborn as sns
  
      plt.figure(figsize=(15, 5))
      ax = plt.subplot(111)
      plt.bar(range(1, 10), [acf(data, lag) for lag in range(1, 10)])
      plt.xlabel("Lag")
      plt.ylabel("Autocorrelation")
      plt.title("ACF Plot")
      plt.axhline(
          0 + 2 / np.sqrt(len(data)), linestyle="-", color="black"
      )
      plt.axhline(
          0 - 2 / np.sqrt(len(data)), linestyle="-", color="black"
      )
      plt.show()
  
imports: import numpy
  from math import sqrt
label_desc: Use image node_id 3 for calling a global function with example usage: acf_plot(data, max_lag) without return types