generating histograms for countries more efficient
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@@ -9,10 +9,10 @@ class MultiIndexExploderTest(unittest.TestCase):
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def test_explodeMultiIndexOfTable(self):
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# Given
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table = TestHelper.createDataFrame(
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columns = ['DATA'],
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data = [ ['A, B data'],
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['C, A data'],
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['C, B data']],
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columns = ['DATA', 'COUNTRY'],
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data = [ ['A, B data', 'Country A'],
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['C, A data', 'Country B'],
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['C, B data', 'Country C']],
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index = pd.MultiIndex.from_tuples(
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names = ['VAX_LOT1', 'VAX_LOT2'],
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tuples = [['A', 'B'],
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@@ -26,15 +26,15 @@ class MultiIndexExploderTest(unittest.TestCase):
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assert_frame_equal(
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explodedTable,
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TestHelper.createDataFrame(
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columns = ['DATA'],
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data = [ ['A, B data'],
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['A, B data'],
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columns = ['DATA', 'COUNTRY'],
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data = [ ['A, B data', 'Country A'],
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['A, B data', 'Country A'],
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['C, A data'],
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['C, A data'],
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['C, A data', 'Country B'],
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['C, A data', 'Country B'],
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['C, B data'],
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['C, B data']],
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['C, B data', 'Country C'],
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['C, B data', 'Country C']],
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index = pd.MultiIndex.from_tuples(
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names = ['VAX_LOT_EXPLODED', 'VAX_LOT1', 'VAX_LOT2'],
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tuples = [['A', 'A', 'B'],
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