make var name clearer

Author: LiamConnors

doc/python/icicle-charts.md

@@ -305,7 +305,7 @@ def build_hierarchical_dataframe(df, levels, value_column, color_columns=None):
     Levels are given starting from the bottom to the top of the hierarchy,
     ie the last level corresponds to the root.
     """
-    df_trees = []
+    df_list = []
     for i, level in enumerate(levels):
         df_tree = pd.DataFrame(columns=['id', 'parent', 'value', 'color'])
         dfg = df.groupby(levels[i:]).sum()
@@ -317,12 +317,12 @@ def build_hierarchical_dataframe(df, levels, value_column, color_columns=None):
             df_tree['parent'] = 'total'
         df_tree['value'] = dfg[value_column]
         df_tree['color'] = dfg[color_columns[0]] / dfg[color_columns[1]]
-        df_trees.append(df_tree)
+        df_list.append(df_tree)
     total = pd.Series(dict(id='total', parent='',
                               value=df[value_column].sum(),
                               color=df[color_columns[0]].sum() / df[color_columns[1]].sum()), name=0)
-    df_trees.append(total)
-    df_all_trees = pd.concat(df_trees, ignore_index=True)
+    df_list.append(total)
+    df_all_trees = pd.concat(df_list, ignore_index=True)
     return df_all_trees
 
 

doc/python/sunburst-charts.md

@@ -355,7 +355,7 @@ def build_hierarchical_dataframe(df, levels, value_column, color_columns=None):
     Levels are given starting from the bottom to the top of the hierarchy,
     ie the last level corresponds to the root.
     """
-    df_trees = []
+    df_list = []
     for i, level in enumerate(levels):
         df_tree = pd.DataFrame(columns=['id', 'parent', 'value', 'color'])
         dfg = df.groupby(levels[i:]).sum()
@@ -367,12 +367,12 @@ def build_hierarchical_dataframe(df, levels, value_column, color_columns=None):
             df_tree['parent'] = 'total'
         df_tree['value'] = dfg[value_column]
         df_tree['color'] = dfg[color_columns[0]] / dfg[color_columns[1]]
-        df_trees.append(df_tree)
+        df_list.append(df_tree)
     total = pd.Series(dict(id='total', parent='',
                               value=df[value_column].sum(),
                               color=df[color_columns[0]].sum() / df[color_columns[1]].sum()), name=0)
-    df_trees.append(total)
-    df_all_trees = pd.concat(df_trees, ignore_index=True)
+    df_list.append(total)
+    df_all_trees = pd.concat(df_list, ignore_index=True)
     return df_all_trees
 
 

doc/python/treemaps.md

@@ -316,7 +316,7 @@ def build_hierarchical_dataframe(df, levels, value_column, color_columns=None):
     Levels are given starting from the bottom to the top of the hierarchy,
     ie the last level corresponds to the root.
     """
-    df_trees = []
+    df_list = []
     for i, level in enumerate(levels):
         df_tree = pd.DataFrame(columns=['id', 'parent', 'value', 'color'])
         dfg = df.groupby(levels[i:]).sum()
@@ -328,12 +328,12 @@ def build_hierarchical_dataframe(df, levels, value_column, color_columns=None):
             df_tree['parent'] = 'total'
         df_tree['value'] = dfg[value_column]
         df_tree['color'] = dfg[color_columns[0]] / dfg[color_columns[1]]
-        df_trees.append(df_tree)
+        df_list.append(df_tree)
     total = pd.Series(dict(id='total', parent='',
                               value=df[value_column].sum(),
                               color=df[color_columns[0]].sum() / df[color_columns[1]].sum()), name=0)
-    df_trees.append(total)
-    df_all_trees = pd.concat(df_trees, ignore_index=True)
+    df_list.append(total)
+    df_all_trees = pd.concat(df_list, ignore_index=True)
     return df_all_trees