For a change point detection task, I am testing my own algorithm against a baseline, and I would like to plot the results from the two algorithms on the same boxplot.

My results (F Score values) are stored in a dictionary where the keys are two parameters a and b (both with 4 distinct values):

resultsOwnAlgorithm = {'a1, b1': [0.8, 0.7, 0.6, ...], 'a1, b2': [...], ..., 'a2, b1': [...], ...}
resultsBaseline = {'a1, b1': [0.7, 0.6, ...], 'a1, b2': [...], ..., 'a2, b1': [...], ...}

For now, I have a function to plot them individually. I create 4 subplots where a is set and b is changing,

CodePudding user response：

• The easiest solution is probably to combine all of the dictionaries into a single

  DataFrame Views

  • dfs.head()

       a1, b1    a2, b2    a3, b3    a4, b4 Algorithm
  0  0.834463 -1.092923  4.875117 -4.946214  baseline
  1  1.338891  0.225008 -0.305499  0.570333  baseline
  2  0.261615  2.128844  2.194177  0.494803  baseline
  3  0.273740 -2.395624 -3.495572  0.006312  baseline
  4 -0.997368  0.984808 -3.956302  0.206667  baseline
  

  • dfm.head()

    Algorithm Parameters     Score
  0  baseline     a1, b1  0.834463
  1  baseline     a1, b1  1.338891
  2  baseline     a1, b1  0.261615
  3  baseline     a1, b1  0.273740
  4  baseline     a1, b1 -0.997368