DOC: fix EX03 errors in docstrings -pandas.DataFrame for idxmax, idxmin, pivot (#56830)

Author: jordan-d-murphy

pandas/core/frame.py

@@ -9223,11 +9223,11 @@ def groupby(
         You could also assign a list of column names or a list of index names.
 
         >>> df = pd.DataFrame({
-        ...        "lev1": [1, 1, 1, 2, 2, 2],
-        ...        "lev2": [1, 1, 2, 1, 1, 2],
-        ...        "lev3": [1, 2, 1, 2, 1, 2],
-        ...        "lev4": [1, 2, 3, 4, 5, 6],
-        ...        "values": [0, 1, 2, 3, 4, 5]})
+        ...                   "lev1": [1, 1, 1, 2, 2, 2],
+        ...                   "lev2": [1, 1, 2, 1, 1, 2],
+        ...                   "lev3": [1, 2, 1, 2, 1, 2],
+        ...                   "lev4": [1, 2, 3, 4, 5, 6],
+        ...                   "values": [0, 1, 2, 3, 4, 5]})
         >>> df
             lev1 lev2 lev3 lev4 values
         0   1    1    1    1    0

pandas/core/shared_docs.py

@@ -839,7 +839,7 @@
     Consider a dataset containing food consumption in Argentina.
 
     >>> df = pd.DataFrame({{'consumption': [10.51, 103.11, 55.48],
-    ...                     'co2_emissions': [37.2, 19.66, 1712]}},
+    ...                   'co2_emissions': [37.2, 19.66, 1712]}},
     ...                   index=['Pork', 'Wheat Products', 'Beef'])
 
     >>> df
@@ -904,7 +904,7 @@
     Consider a dataset containing food consumption in Argentina.
 
     >>> df = pd.DataFrame({{'consumption': [10.51, 103.11, 55.48],
-    ...                     'co2_emissions': [37.2, 19.66, 1712]}},
+    ...                   'co2_emissions': [37.2, 19.66, 1712]}},
     ...                   index=['Pork', 'Wheat Products', 'Beef'])
 
     >>> df