code: def needMovingTrend(self, df, i):
      N = df.shape[0]
      if N < (12 * i):
          return False
      return True
  
imports: import pandas
  import numpy
  from .None import Time
  from .None import Perf
  from .None import Plots
  from .None import Utils
  import sklearn
  import sklearn.preprocessing
  import sklearn.linear_model
  from sklearn.feature_selection import RFE
  from sklearn.linear_model import LinearRegression
label_desc: Use image node_id 2 for calling the cTrendEstimator obj's underlying member method code with example usage: obj.needMovingTrend(df, i) and returns: True, False