diff --git a/ci/code_checks.sh b/ci/code_checks.sh index 84d7e01e0d92e..fbd71af9b60de 100755 --- a/ci/code_checks.sh +++ b/ci/code_checks.sh @@ -85,9 +85,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then -i "pandas.DataFrame.columns SA01" \ -i "pandas.DataFrame.copy SA01" \ -i "pandas.DataFrame.droplevel SA01" \ - -i "pandas.DataFrame.dtypes SA01" \ -i "pandas.DataFrame.first_valid_index SA01" \ - -i "pandas.DataFrame.get SA01" \ -i "pandas.DataFrame.hist RT03" \ -i "pandas.DataFrame.infer_objects RT03" \ -i "pandas.DataFrame.keys SA01" \ @@ -354,13 +352,11 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then -i "pandas.Series.dt.unit GL08" \ -i "pandas.Series.dt.year SA01" \ -i "pandas.Series.dtype SA01" \ - -i "pandas.Series.dtypes SA01" \ -i "pandas.Series.empty GL08" \ -i "pandas.Series.eq PR07,SA01" \ -i "pandas.Series.first_valid_index SA01" \ -i "pandas.Series.floordiv PR07" \ -i "pandas.Series.ge PR07,SA01" \ - -i "pandas.Series.get SA01" \ -i "pandas.Series.gt PR07,SA01" \ -i "pandas.Series.hasnans SA01" \ -i "pandas.Series.infer_objects RT03" \ diff --git a/pandas/core/generic.py b/pandas/core/generic.py index 14616ad386652..028492f5617bd 100644 --- a/pandas/core/generic.py +++ b/pandas/core/generic.py @@ -4203,6 +4203,11 @@ def get(self, key, default=None): same type as items contained in object Item for given key or ``default`` value, if key is not found. + See Also + -------- + DataFrame.get : Get item from object for given key (ex: DataFrame column). + Series.get : Get item from object for given key (ex: DataFrame column). + Examples -------- >>> df = pd.DataFrame( @@ -6122,6 +6127,10 @@ def dtypes(self): pandas.Series The data type of each column. + See Also + -------- + Series.dtypes : Return the dtype object of the underlying data. + Examples -------- >>> df = pd.DataFrame( diff --git a/pandas/core/series.py b/pandas/core/series.py index ab24b224b0957..8b36bd0f381c5 100644 --- a/pandas/core/series.py +++ b/pandas/core/series.py @@ -634,6 +634,10 @@ def dtypes(self) -> DtypeObj: """ Return the dtype object of the underlying data. + See Also + -------- + DataFrame.dtypes : Return the dtypes in the DataFrame. + Examples -------- >>> s = pd.Series([1, 2, 3])