python - Is a column in pandas.DF() monotonically increasing? -


I can check whether the index of pandals. Dataframe () is increasing monotonically by using the is_monotonic method. However, I would like to check whether the value of one column (float / integer) is increasing steadily in the column value? [13]: my_df = pd.DataFrame ([1,2, 3,5,7,6,9]) in [14]: my_df out [14]: 0 1 

  1 2 2 3 3 5 4 7 5 6 6 9: my_df.index.is_monotonic Out [15]: The truth is that getting the datafile column as an oval array is the best way to copy data Without a (after selection of columns through indexing), and then using a sample-based test to check a nonontoncity:  
  def monotonic (x): return np.all (Np.diff (x)> monotonic (df [0] .values)  
 
 pure Python car Implementation, borrowed from: 
 
  def strictly mounting (L): zip (L, L [1:]) in all x (for x and lt; y)

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