Change method names between across and within

I do dumb things sometimes.
tdmittens · Apr 8, 2021 · 08ed4de · 08ed4de
1 parent ef7e143
commit 08ed4de
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Showing 10 changed files with 3 additions and 3 deletions.
diff --git a/python/__pycache__/calculations.cpython-37.pyc b/python/__pycache__/calculations.cpython-37.pyc
diff --git a/python/__pycache__/distance_algo.cpython-37.pyc b/python/__pycache__/distance_algo.cpython-37.pyc
diff --git a/python/__pycache__/distance_calc.cpython-37.pyc b/python/__pycache__/distance_calc.cpython-37.pyc
diff --git a/python/__pycache__/gui.cpython-37.pyc b/python/__pycache__/gui.cpython-37.pyc
diff --git a/python/__pycache__/layout.cpython-37.pyc b/python/__pycache__/layout.cpython-37.pyc
diff --git a/python/__pycache__/order_division.cpython-37.pyc b/python/__pycache__/order_division.cpython-37.pyc
diff --git a/python/__pycache__/order_lines.cpython-37.pyc b/python/__pycache__/order_lines.cpython-37.pyc
diff --git a/python/__pycache__/space_allocation.cpython-37.pyc b/python/__pycache__/space_allocation.cpython-37.pyc
diff --git a/python/export.py b/python/export.py
@@ -198,7 +198,7 @@ def evaluationFile(randomD, coiD, weightD, abcHD, abcVD, exportPath):
     abcv_df = pd.DataFrame(abcVD)
 
     alldf = [random_df, coi_df, weight_df, abch_df, abcv_df]
-    names = ["random", "coi", "weight", "abc horiz", "abc verti"]
+    names = ["random", "coi", "weight", "across aisle", "within aisle"]
     sumDist = []
 
     for i in range(len(alldf)):

diff --git a/python/layout.py b/python/layout.py
@@ -45,7 +45,7 @@ def layoutDistance(layout_df):
     return locations_df
 
 
-def orderByVertical(locationDistance, aisles):
+def orderByHorizontal(locationDistance, aisles): #across aisle
     locationDistance = locationDistance.sort_values(
         by=['Column', 'Row'], ascending=False)
     returnFrame = pd.DataFrame()
@@ -67,7 +67,7 @@ def orderByVertical(locationDistance, aisles):
     return returnFrame
 
 
-def orderByHorizontal(locationDistance, aisles):
+def orderByVertical(locationDistance, aisles): #within aisle
     # sort by aisle, then by row, starting from bottom and working to the top
     returnFrame = locationDistance.sort_values(
         by=['Column', 'Row'], ascending=False)