code: def get_histograms():
      df = get_test_data()
  
      hist1 = hg.Categorize(unit("C"))
      hist2 = hg.Bin(5, 0, 5, unit("A"), value=hist1)
      hist3 = hg.SparselyBin(
          origin=pd.Timestamp("2009-01-01").value,
          binWidth=pd.Timedelta(days=1).value,
          quantity=unit("date"),
          value=hist2,
      )
  
      for hist in [hist1, hist2, hist3]:
          hist.fill.numpy(df)
  
      return hist1, hist2, hist3
  
file_path: popmon/tests/popmon/hist/test_histogram.py
imports: import histogrammar
  import numpy
  import pandas
  from popmon.hist.hist_utils import is_numeric, is_timestamp, project_on_x, project_split2dhist_on_axis, sparse_bin_centers_x, split_hist_along_first_dimension, sum_entries, sum_over_x
label_desc: Use image node_id 3 for calling a global function with example usage: get_histograms() and returns: hist1,  hist2,  hist3