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3 changes: 0 additions & 3 deletions ci/code_checks.sh
Original file line number Diff line number Diff line change
Expand Up @@ -583,14 +583,11 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.api.types.is_signed_integer_dtype \
pandas.api.types.is_sparse \
pandas.api.types.is_string_dtype \
pandas.api.types.is_timedelta64_dtype \
pandas.api.types.is_timedelta64_ns_dtype \
pandas.api.types.is_unsigned_integer_dtype \
pandas.io.formats.style.Styler.concat \
pandas.io.formats.style.Styler.export \
pandas.io.formats.style.Styler.set_td_classes \
pandas.io.formats.style.Styler.use \
pandas.io.json.build_table_schema \
pandas.plotting.andrews_curves \
pandas.plotting.autocorrelation_plot \
pandas.plotting.lag_plot \
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2 changes: 2 additions & 0 deletions pandas/core/dtypes/common.py
Original file line number Diff line number Diff line change
Expand Up @@ -363,6 +363,7 @@ def is_timedelta64_dtype(arr_or_dtype) -> bool:

Examples
--------
>>> from pandas.core.dtypes.common import is_timedelta64_dtype
>>> is_timedelta64_dtype(object)
False
>>> is_timedelta64_dtype(np.timedelta64)
Expand Down Expand Up @@ -972,6 +973,7 @@ def is_timedelta64_ns_dtype(arr_or_dtype) -> bool:

Examples
--------
>>> from pandas.core.dtypes.common import is_timedelta64_ns_dtype
>>> is_timedelta64_ns_dtype(np.dtype('m8[ns]'))
True
>>> is_timedelta64_ns_dtype(np.dtype('m8[ps]')) # Wrong frequency
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1 change: 1 addition & 0 deletions pandas/io/json/_table_schema.py
Original file line number Diff line number Diff line change
Expand Up @@ -265,6 +265,7 @@ def build_table_schema(

Examples
--------
>>> from pandas.io.json._table_schema import build_table_schema
>>> df = pd.DataFrame(
... {'A': [1, 2, 3],
... 'B': ['a', 'b', 'c'],
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