Python groupby_and_aggregate Examples

Example #1

File: test_utils.py Project: tarakeht/python-tidegates

    def test_defaults(self):
        counts = utils.groupby_and_aggregate(self.buildings,
                                             self.group_col,
                                             self.count_col,
                                             aggfxn=None)

        nt.assert_dict_equal(counts, self.known_counts)

Example #2

File: test_utils.py Project: Geosyntec/python-tidegates

    def test_defaults(self):
        counts = utils.groupby_and_aggregate(
            self.buildings,
            self.group_col,
            self.count_col,
            aggfxn=None
        )

        nt.assert_dict_equal(counts, self.known_counts)

Example #3

File: test_utils.py Project: tarakeht/python-tidegates

 def test_area(self):
     areadict = utils.groupby_and_aggregate(
         self.areas,
         self.group_col,
         self.area_op,
         aggfxn=lambda g: sum([row[1] for row in g]))
     for key in areadict.keys():
         nt.assert_almost_equal(areadict[key],
                                self.known_areas[key],
                                delta=0.01)

Example #4

File: test_utils.py Project: Geosyntec/python-tidegates

 def test_area(self):
     areadict = utils.groupby_and_aggregate(
         self.areas,
         self.group_col,
         self.area_op,
         aggfxn=lambda g: sum([row[1] for row in g])
     )
     for key in areadict.keys():
         nt.assert_almost_equal(
             areadict[key],
             self.known_areas[key],
             delta=0.01
         )

Example #5

File: test_utils.py Project: tarakeht/python-tidegates

 def test_bad_count_col(self):
     counts = utils.groupby_and_aggregate(self.buildings, self.group_col,
                                          "JUNK")

Example #6

File: test_utils.py Project: Geosyntec/python-tidegates

 def test_bad_count_col(self):
     counts = utils.groupby_and_aggregate(
         self.buildings,
         self.group_col,
         "JUNK"
     )