DOC: fix EX03 errors in docstrings - pandas.io.json.build_table_schema, pandas.read_stata, pandas.plotting.scatter_matrix, pandas.Index.droplevel , pandas.Grouper (#56880)

Co-authored-by: Marc Garcia <[email protected]>

Author: jordan-d-murphy

ci/code_checks.sh

@@ -80,16 +80,9 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.errors.SpecificationError \
         pandas.errors.UndefinedVariableError \
         pandas.read_json \
-        pandas.io.json.build_table_schema \
         pandas.io.formats.style.Styler.to_latex \
         pandas.read_parquet \
         pandas.DataFrame.to_sql \
-        pandas.read_stata \
-        pandas.plotting.scatter_matrix \
-        pandas.Index.droplevel \
-        pandas.MultiIndex.names \
-        pandas.MultiIndex.droplevel \
-        pandas.Grouper \
         pandas.io.formats.style.Styler.map \
         pandas.io.formats.style.Styler.apply_index \
         pandas.io.formats.style.Styler.map_index \

pandas/core/groupby/grouper.py

@@ -151,8 +151,8 @@ class Grouper:
     Specify a resample operation on the column 'Publish date'
 
     >>> df = pd.DataFrame(
-    ...    {
-    ...        "Publish date": [
+    ...     {
+    ...         "Publish date": [
     ...             pd.Timestamp("2000-01-02"),
     ...             pd.Timestamp("2000-01-02"),
     ...             pd.Timestamp("2000-01-09"),

pandas/core/indexes/base.py

@@ -2124,7 +2124,7 @@ def droplevel(self, level: IndexLabel = 0):
         Examples
         --------
         >>> mi = pd.MultiIndex.from_arrays(
-        ... [[1, 2], [3, 4], [5, 6]], names=['x', 'y', 'z'])
+        ...     [[1, 2], [3, 4], [5, 6]], names=['x', 'y', 'z'])
         >>> mi
         MultiIndex([(1, 3, 5),
                     (2, 4, 6)],

pandas/io/json/_table_schema.py

@@ -277,7 +277,7 @@ def build_table_schema(
     ...     {'A': [1, 2, 3],
     ...      'B': ['a', 'b', 'c'],
     ...      'C': pd.date_range('2016-01-01', freq='d', periods=3),
-    ...     }, index=pd.Index(range(3), name='idx'))
+    ...      }, index=pd.Index(range(3), name='idx'))
     >>> build_table_schema(df)
     {'fields': \
 [{'name': 'idx', 'type': 'integer'}, \

pandas/io/stata.py

@@ -176,7 +176,7 @@
 Creating a dummy stata for this example
 
 >>> df = pd.DataFrame({{'animal': ['falcon', 'parrot', 'falcon', 'parrot'],
-...                     'speed': [350, 18, 361, 15]}})  # doctest: +SKIP
+...                   'speed': [350, 18, 361, 15]}})  # doctest: +SKIP
 >>> df.to_stata('animals.dta')  # doctest: +SKIP
 
 Read a Stata dta file:
@@ -189,7 +189,7 @@
 >>> df = pd.DataFrame(values, columns=["i"])  # doctest: +SKIP
 >>> df.to_stata('filename.dta')  # doctest: +SKIP
 
->>> with pd.read_stata('filename.dta', chunksize=10000) as itr: # doctest: +SKIP
+>>> with pd.read_stata('filename.dta', chunksize=10000) as itr:  # doctest: +SKIP
 >>>     for chunk in itr:
 ...         # Operate on a single chunk, e.g., chunk.mean()
 ...         pass  # doctest: +SKIP

pandas/plotting/_misc.py

@@ -204,7 +204,7 @@ def scatter_matrix(
     .. plot::
         :context: close-figs
 
-        >>> df = pd.DataFrame(np.random.randn(1000, 4), columns=['A','B','C','D'])
+        >>> df = pd.DataFrame(np.random.randn(1000, 4), columns=['A', 'B', 'C', 'D'])
         >>> pd.plotting.scatter_matrix(df, alpha=0.2)
         array([[<Axes: xlabel='A', ylabel='A'>, <Axes: xlabel='B', ylabel='A'>,
                 <Axes: xlabel='C', ylabel='A'>, <Axes: xlabel='D', ylabel='A'>],