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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 @@ -79,9 +79,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.errors.SettingWithCopyWarning \
pandas.errors.SpecificationError \
pandas.errors.UndefinedVariableError \
pandas.Timestamp.ceil \
pandas.Timestamp.floor \
pandas.Timestamp.round \
pandas.read_json \
pandas.io.json.build_table_schema \
pandas.io.formats.style.Styler.to_latex \
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24 changes: 12 additions & 12 deletions pandas/_libs/tslibs/nattype.pyx
Original file line number Diff line number Diff line change
Expand Up @@ -973,16 +973,16 @@ timedelta}, default 'raise'

A timestamp can be rounded using multiple frequency units:

>>> ts.round(freq='h') # hour
>>> ts.round(freq='h') # hour
Timestamp('2020-03-14 16:00:00')

>>> ts.round(freq='min') # minute
>>> ts.round(freq='min') # minute
Timestamp('2020-03-14 15:33:00')

>>> ts.round(freq='s') # seconds
>>> ts.round(freq='s') # seconds
Timestamp('2020-03-14 15:32:52')

>>> ts.round(freq='ms') # milliseconds
>>> ts.round(freq='ms') # milliseconds
Timestamp('2020-03-14 15:32:52.193000')

``freq`` can also be a multiple of a single unit, like '5min' (i.e. 5 minutes):
Expand Down Expand Up @@ -1062,16 +1062,16 @@ timedelta}, default 'raise'

A timestamp can be floored using multiple frequency units:

>>> ts.floor(freq='h') # hour
>>> ts.floor(freq='h') # hour
Timestamp('2020-03-14 15:00:00')

>>> ts.floor(freq='min') # minute
>>> ts.floor(freq='min') # minute
Timestamp('2020-03-14 15:32:00')

>>> ts.floor(freq='s') # seconds
>>> ts.floor(freq='s') # seconds
Timestamp('2020-03-14 15:32:52')

>>> ts.floor(freq='ns') # nanoseconds
>>> ts.floor(freq='ns') # nanoseconds
Timestamp('2020-03-14 15:32:52.192548651')

``freq`` can also be a multiple of a single unit, like '5min' (i.e. 5 minutes):
Expand Down Expand Up @@ -1151,16 +1151,16 @@ timedelta}, default 'raise'

A timestamp can be ceiled using multiple frequency units:

>>> ts.ceil(freq='h') # hour
>>> ts.ceil(freq='h') # hour
Timestamp('2020-03-14 16:00:00')

>>> ts.ceil(freq='min') # minute
>>> ts.ceil(freq='min') # minute
Timestamp('2020-03-14 15:33:00')

>>> ts.ceil(freq='s') # seconds
>>> ts.ceil(freq='s') # seconds
Timestamp('2020-03-14 15:32:53')

>>> ts.ceil(freq='us') # microseconds
>>> ts.ceil(freq='us') # microseconds
Timestamp('2020-03-14 15:32:52.192549')

``freq`` can also be a multiple of a single unit, like '5min' (i.e. 5 minutes):
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24 changes: 12 additions & 12 deletions pandas/_libs/tslibs/timestamps.pyx
Original file line number Diff line number Diff line change
Expand Up @@ -1973,16 +1973,16 @@ timedelta}, default 'raise'

A timestamp can be rounded using multiple frequency units:

>>> ts.round(freq='h') # hour
>>> ts.round(freq='h') # hour
Timestamp('2020-03-14 16:00:00')

>>> ts.round(freq='min') # minute
>>> ts.round(freq='min') # minute
Timestamp('2020-03-14 15:33:00')

>>> ts.round(freq='s') # seconds
>>> ts.round(freq='s') # seconds
Timestamp('2020-03-14 15:32:52')

>>> ts.round(freq='ms') # milliseconds
>>> ts.round(freq='ms') # milliseconds
Timestamp('2020-03-14 15:32:52.193000')

``freq`` can also be a multiple of a single unit, like '5min' (i.e. 5 minutes):
Expand Down Expand Up @@ -2064,16 +2064,16 @@ timedelta}, default 'raise'

A timestamp can be floored using multiple frequency units:

>>> ts.floor(freq='h') # hour
>>> ts.floor(freq='h') # hour
Timestamp('2020-03-14 15:00:00')

>>> ts.floor(freq='min') # minute
>>> ts.floor(freq='min') # minute
Timestamp('2020-03-14 15:32:00')

>>> ts.floor(freq='s') # seconds
>>> ts.floor(freq='s') # seconds
Timestamp('2020-03-14 15:32:52')

>>> ts.floor(freq='ns') # nanoseconds
>>> ts.floor(freq='ns') # nanoseconds
Timestamp('2020-03-14 15:32:52.192548651')

``freq`` can also be a multiple of a single unit, like '5min' (i.e. 5 minutes):
Expand Down Expand Up @@ -2153,16 +2153,16 @@ timedelta}, default 'raise'

A timestamp can be ceiled using multiple frequency units:

>>> ts.ceil(freq='h') # hour
>>> ts.ceil(freq='h') # hour
Timestamp('2020-03-14 16:00:00')

>>> ts.ceil(freq='min') # minute
>>> ts.ceil(freq='min') # minute
Timestamp('2020-03-14 15:33:00')

>>> ts.ceil(freq='s') # seconds
>>> ts.ceil(freq='s') # seconds
Timestamp('2020-03-14 15:32:53')

>>> ts.ceil(freq='us') # microseconds
>>> ts.ceil(freq='us') # microseconds
Timestamp('2020-03-14 15:32:52.192549')

``freq`` can also be a multiple of a single unit, like '5min' (i.e. 5 minutes):
Expand Down