Python Histogram.normalized Examples

Example #1

File: test_histogram.py Project: openpathsampling/openpathsampling

 def test_normalized(self):
     histo = Histogram(n_bins=5)
     _ = histo.histogram(self.data)
     assert (list(histo.normalized().values()) ==
             [1.0, 0.0, 0.4, 0.2, 0.2, 0.2])
     assert (list(histo.normalized(raw_probability=True).values()) ==
             [0.5, 0.0, 0.2, 0.1, 0.1, 0.1])

Example #2

File: test_histogram.py Project: dwhswenson/openpathsampling

 def test_normalized(self):
     histo = Histogram(n_bins=5)
     hist = histo.histogram(self.data)
     assert_items_equal(list(histo.normalized().values()),
                        [1.0, 0.0, 0.4, 0.2, 0.2, 0.2])
     assert_items_equal(list(histo.normalized(raw_probability=True).values()),
                        [0.5, 0.0, 0.2, 0.1, 0.1, 0.1])

Example #3

File: testhistogram.py Project: yangxi1209/openpathsampling

 def test_normalized(self):
     histo = Histogram(n_bins=5)
     hist = histo.histogram(self.data)
     assert_items_equal(histo.normalized().values(),
                        [1.0, 0.0, 0.4, 0.2, 0.2, 0.2])
     assert_items_equal(
         histo.normalized(raw_probability=True).values(),
         [0.5, 0.0, 0.2, 0.1, 0.1, 0.1])