DOC: Fix EX01 issues in docstrings
#### Location of the documentation

In various pandas modules. See list below for the complete list of functions raising EX01 errors.

#### Documentation problem

The listed functions are missing the example section, i.e.  code EX01.

#### Suggested fix for documentation

As proposed in #27977, I attach the list of raised errors below. Use this thread to comment on which function/module you will be working so we don't duplicate work. Please mention this issue in your PR so that the list below can be updated.

#### Current errors:
(checked means someone is working on them)

- [X] pandas.Timestamp.asm8
- [ ] pandas.Timestamp.dayofweek
- [x] pandas.Timestamp.day_of_week
- [ ] pandas.Timestamp.dayofyear
- [x] pandas.Timestamp.day_of_year
- [x] pandas.Timestamp.days_in_month
- [ ] pandas.Timestamp.daysinmonth
- [x] pandas.Timestamp.is_leap_year
- [x] pandas.Timestamp.is_month_end
- [x] pandas.Timestamp.is_month_start
- [x] pandas.Timestamp.is_quarter_end
- [x] pandas.Timestamp.is_quarter_start
- [x] pandas.Timestamp.is_year_end
- [x] pandas.Timestamp.is_year_start
- [x] pandas.Timestamp.quarter
- [ ] pandas.Timestamp.resolution
- [x] pandas.Timestamp.tz
- [x] pandas.Timestamp.week
- [ ] pandas.Timestamp.weekofyear
- [ ] pandas.Timestamp.astimezone
- [x] pandas.Timestamp.ceil
- [x] pandas.Timestamp.combine
- [ ] pandas.Timestamp.ctime
- [ ] pandas.Timestamp.date
- [x] pandas.Timestamp.day_name
- [ ] pandas.Timestamp.dst
- [x] pandas.Timestamp.floor
- [ ] pandas.Timestamp.freqstr
- [x] pandas.Timestamp.fromordinal
- [x] pandas.Timestamp.fromtimestamp
- [ ] pandas.Timestamp.isocalendar
- [ ] pandas.Timestamp.isoweekday
- [x] pandas.Timestamp.month_name
- [x] pandas.Timestamp.normalize
- [x] pandas.Timestamp.now
- [x] pandas.Timestamp.replace
- [x] pandas.Timestamp.round
- [x] pandas.Timestamp.strftime
- [ ] pandas.Timestamp.strptime
- [ ] pandas.Timestamp.time
- [x] pandas.Timestamp.timestamp
- [ ] pandas.Timestamp.timetuple
- [ ] pandas.Timestamp.timetz
- [ ] pandas.Timestamp.to_datetime64
- [x] pandas.Timestamp.to_numpy
- [x] pandas.Timestamp.to_julian_date
- [x] pandas.Timestamp.to_period
- [x] pandas.Timestamp.to_pydatetime
- [x] pandas.Timestamp.today
- [ ] pandas.Timestamp.toordinal
- [x] pandas.Timestamp.tz_convert
- [x] pandas.Timestamp.tz_localize
- [ ] pandas.Timestamp.tzname
- [x] pandas.Timestamp.utcfromtimestamp
- [x] pandas.Timestamp.utcnow
- [ ] pandas.Timestamp.utcoffset
- [ ] pandas.Timestamp.utctimetuple
- [x] pandas.Timestamp.weekday
- [ ] pandas.arrays.DatetimeArray
- [ ] pandas.Timedelta
- [ ] pandas.Timedelta.components
- [ ] pandas.Timedelta.days
- [ ] pandas.Timedelta.max
- [ ] pandas.Timedelta.microseconds
- [ ] pandas.Timedelta.min
- [ ] pandas.Timedelta.resolution
- [ ] pandas.Timedelta.seconds
- [ ] pandas.Timedelta.view
- [ ] pandas.Timedelta.ceil
- [ ] pandas.Timedelta.floor
- [ ] pandas.Timedelta.round
- [ ] pandas.Timedelta.to_pytimedelta
- [ ] pandas.Timedelta.to_timedelta64
- [ ] pandas.Timedelta.to_numpy
- [ ] pandas.Timedelta.total_seconds
- [ ] pandas.arrays.TimedeltaArray
- [ ] pandas.Period
- [ ] pandas.Period.asfreq
- [ ] pandas.Period.to_timestamp
- [ ] pandas.arrays.PeriodArray
- [ ] pandas.Interval.closed
- [ ] pandas.Interval.closed_left
- [ ] pandas.Interval.closed_right
- [ ] pandas.Interval.left
- [ ] pandas.Interval.length
- [ ] pandas.Interval.mid
- [ ] pandas.Interval.open_left
- [ ] pandas.Interval.open_right
- [ ] pandas.Interval.right
- [ ] pandas.arrays.IntervalArray.left
- [ ] pandas.arrays.IntervalArray.right
- [ ] pandas.arrays.IntervalArray.closed
- [ ] pandas.arrays.IntervalArray.mid
- [ ] pandas.arrays.IntervalArray.length
- [ ] pandas.arrays.IntervalArray.is_non_overlapping_monotonic
- [ ] pandas.arrays.IntervalArray.from_arrays
- [ ] pandas.arrays.IntervalArray.to_tuples
- [ ] pandas.Int8Dtype
- [ ] pandas.Int16Dtype
- [ ] pandas.Int32Dtype
- [ ] pandas.Int64Dtype
- [ ] pandas.UInt8Dtype
- [ ] pandas.UInt16Dtype
- [ ] pandas.UInt32Dtype
- [ ] pandas.UInt64Dtype
- [ ] pandas.CategoricalDtype.categories
- [ ] pandas.CategoricalDtype.ordered
- [ ] pandas.Categorical.dtype
- [ ] pandas.Categorical.categories
- [ ] pandas.Categorical.ordered
- [ ] pandas.Categorical.codes
- [ ] pandas.Categorical.__array__
- [ ] pandas.SparseDtype
- [ ] pandas.DatetimeTZDtype.unit
- [ ] pandas.DatetimeTZDtype.tz
- [ ] pandas.PeriodDtype.freq
- [ ] pandas.IntervalDtype.subtype
- [ ] pandas.io.formats.style.Styler
- [ ] pandas.io.formats.style.Styler.from_custom_template
- [ ] pandas.io.formats.style.Styler.env
- [ ] pandas.io.formats.style.Styler.template
- [ ] pandas.io.formats.style.Styler.loader
- [ ] pandas.io.formats.style.Styler.applymap
- [ ] pandas.io.formats.style.Styler.where
- [ ] pandas.io.formats.style.Styler.set_precision
- [ ] pandas.io.formats.style.Styler.set_caption
- [ ] pandas.io.formats.style.Styler.set_uuid
- [ ] pandas.io.formats.style.Styler.set_na_rep
- [ ] pandas.io.formats.style.Styler.clear
- [ ] pandas.io.formats.style.Styler.highlight_max
- [ ] pandas.io.formats.style.Styler.highlight_min
- [ ] pandas.io.formats.style.Styler.highlight_null
- [ ] pandas.io.formats.style.Styler.background_gradient
- [ ] pandas.io.formats.style.Styler.bar
- [ ] pandas.io.formats.style.Styler.render
- [ ] pandas.io.formats.style.Styler.export
- [ ] pandas.io.formats.style.Styler.use
- [ ] pandas.describe_option
- [ ] pandas.reset_option
- [ ] pandas.get_option
- [ ] pandas.set_option
- [ ] pandas.testing.assert_series_equal
- [ ] pandas.testing.assert_index_equal
- [ ] pandas.testing.assert_extension_array_equal
- [ ] pandas.errors.AccessorRegistrationWarning
- [ ] pandas.errors.EmptyDataError
- [ ] pandas.errors.InvalidIndexError
- [ ] pandas.errors.MergeError
- [ ] pandas.errors.NullFrequencyError
- [ ] pandas.errors.NumbaUtilError
- [ ] pandas.errors.OutOfBoundsTimedelta
- [ ] pandas.errors.ParserError
- [ ] pandas.errors.PerformanceWarning
- [ ] pandas.errors.UnsortedIndexError
- [ ] pandas.errors.UnsupportedFunctionCall
- [ ] pandas.api.types.- [ ] pandas.dtype
- [ ] pandas.api.types.is_bool
- [ ] pandas.api.types.is_complex
- [ ] pandas.api.types.is_float
- [ ] pandas.api.types.is_integer
- [ ] pandas.show_versions
- [ ] pandas.core.window.rolling.Rolling.max
- [ ] pandas.core.window.rolling.Rolling.cov
- [ ] pandas.core.window.rolling.Rolling.skew
- [ ] pandas.core.window.rolling.Rolling.apply
- [ ] pandas.core.window.expanding.Expanding.max
- [ ] pandas.core.window.expanding.Expanding.cov
- [ ] pandas.core.window.expanding.Expanding.skew
- [ ] pandas.core.window.expanding.Expanding.apply
- [ ] pandas.core.window.ewm.ExponentialMovingWindow.mean
- [ ] pandas.core.window.ewm.ExponentialMovingWindow.std
- [ ] pandas.core.window.ewm.ExponentialMovingWindow.var
- [ ] pandas.core.window.ewm.ExponentialMovingWindow.corr
- [ ] pandas.core.window.ewm.ExponentialMovingWindow.cov
- [ ] pandas.api.indexers.BaseIndexer
- [ ] pandas.api.indexers.VariableOffsetWindowIndexer
- [ ] pandas.DataFrame.index
- [ ] pandas.DataFrame.columns
- [ ] pandas.DataFrame.insert
- [ ] pandas.DataFrame.__iter__
- [ ] pandas.DataFrame.keys
- [ ] pandas.DataFrame.iterrows
- [ ] pandas.DataFrame.lookup
- [ ] pandas.DataFrame.get
- [ ] pandas.DataFrame.pipe
- [ ] pandas.DataFrame.corrwith
- [ ] pandas.DataFrame.kurt
- [ ] pandas.DataFrame.kurtosis
- [ ] pandas.DataFrame.mad
- [ ] pandas.DataFrame.mean
- [ ] pandas.DataFrame.median
- [ ] pandas.DataFrame.sem
- [ ] pandas.DataFrame.skew
- [ ] pandas.DataFrame.std
- [ ] pandas.DataFrame.var
- [ ] pandas.DataFrame.align
- [ ] pandas.DataFrame.backfill
- [ ] pandas.DataFrame.bfill
- [ ] pandas.DataFrame.ffill
- [ ] pandas.DataFrame.pad
- [ ] pandas.DataFrame.reorder_levels
- [ ] pandas.DataFrame.swaplevel
- [ ] pandas.DataFrame.swapaxes
- [ ] pandas.DataFrame.slice_shift
- [ ] pandas.DataFrame.tshift
- [ ] pandas.DataFrame.first_valid_index
- [ ] pandas.DataFrame.last_valid_index
- [ ] pandas.DataFrame.to_period
- [ ] pandas.DataFrame.to_timestamp
- [ ] pandas.DataFrame.tz_convert
- [ ] pandas.Flags
- [ ] pandas.DataFrame.attrs
- [ ] pandas.DataFrame.plot
- [ ] pandas.DataFrame.sparse.density
- [ ] pandas.DataFrame.sparse.to_coo
- [ ] pandas.DataFrame.to_html
- [ ] pandas.DataFrame.to_feather
- [ ] pandas.DataFrame.to_gbq
- [ ] pandas.DataFrame.style
- [ ] pandas.Index.values
- [ ] pandas.Index.is_monotonic
- [ ] pandas.Index.is_unique
- [ ] pandas.Index.hasnans
- [ ] pandas.Index.dtype
- [ ] pandas.Index.inferred_type
- [ ] pandas.Index.is_all_dates
- [ ] pandas.Index.shape
- [ ] pandas.Index.name
- [ ] pandas.Index.nbytes
- [ ] pandas.Index.ndim
- [ ] pandas.Index.size
- [ ] pandas.Index.T
- [ ] pandas.Index.memory_usage
- [ ] pandas.Index.copy
- [ ] pandas.Index.drop
- [ ] pandas.Index.identical
- [ ] pandas.Index.insert
- [ ] pandas.Index.is_
- [ ] pandas.Index.reindex
- [ ] pandas.Index.take
- [ ] pandas.Index.putmask
- [ ] pandas.Index.unique
- [ ] pandas.Index.droplevel
- [ ] pandas.Index.fillna
- [ ] pandas.Index.dropna
- [ ] pandas.Index.astype
- [ ] pandas.Index.item
- [ ] pandas.Index.map
- [ ] pandas.Index.ravel
- [ ] pandas.Index.to_list
- [ ] pandas.Index.to_native_types
- [ ] pandas.Index.append
- [ ] pandas.Index.join
- [ ] pandas.Index.asof_locs
- [ ] pandas.Index.get_indexer_for
- [ ] pandas.Index.get_indexer_non_unique
- [ ] pandas.Index.get_slice_bound
- [ ] pandas.Index.get_value
- [ ] pandas.RangeIndex
- [ ] pandas.Int64Index
- [ ] pandas.UInt64Index
- [ ] pandas.Float64Index
- [ ] pandas.RangeIndex.start
- [ ] pandas.RangeIndex.stop
- [ ] pandas.RangeIndex.step
- [ ] pandas.RangeIndex.from_range
- [ ] pandas.CategoricalIndex.codes
- [ ] pandas.CategoricalIndex.categories
- [ ] pandas.CategoricalIndex.ordered
- [ ] pandas.CategoricalIndex.reorder_categories
- [ ] pandas.CategoricalIndex.add_categories
- [ ] pandas.CategoricalIndex.remove_categories
- [ ] pandas.CategoricalIndex.remove_unused_categories
- [ ] pandas.CategoricalIndex.set_categories
- [ ] pandas.CategoricalIndex.as_ordered
- [ ] pandas.CategoricalIndex.as_unordered
- [ ] pandas.CategoricalIndex.equals
- [ ] pandas.IntervalIndex.closed
- [ ] pandas.IntervalIndex.values
- [ ] pandas.IntervalIndex.is_non_overlapping_monotonic
- [ ] pandas.IntervalIndex.to_tuples
- [ ] pandas.DatetimeIndex
- [ ] pandas.DatetimeIndex.date
- [ ] pandas.DatetimeIndex.time
- [ ] pandas.DatetimeIndex.timetz
- [ ] pandas.DatetimeIndex.dayofyear
- [ ] pandas.DatetimeIndex.day_of_year
- [ ] pandas.DatetimeIndex.weekofyear
- [ ] pandas.DatetimeIndex.week
- [ ] pandas.DatetimeIndex.quarter
- [ ] pandas.DatetimeIndex.tz
- [ ] pandas.DatetimeIndex.freq
- [ ] pandas.DatetimeIndex.freqstr
- [ ] pandas.DatetimeIndex.inferred_freq
- [ ] pandas.DatetimeIndex.indexer_at_time
- [ ] pandas.DatetimeIndex.indexer_between_time
- [ ] pandas.DatetimeIndex.snap
- [ ] pandas.DatetimeIndex.to_perioddelta
- [ ] pandas.DatetimeIndex.to_pydatetime
- [ ] pandas.DatetimeIndex.to_series
- [ ] pandas.DatetimeIndex.mean
- [ ] pandas.TimedeltaIndex
- [ ] pandas.TimedeltaIndex.days
- [ ] pandas.TimedeltaIndex.seconds
- [ ] pandas.TimedeltaIndex.microseconds
- [ ] pandas.TimedeltaIndex.nanoseconds
- [ ] pandas.TimedeltaIndex.components
- [ ] pandas.TimedeltaIndex.inferred_freq
- [ ] pandas.TimedeltaIndex.to_pytimedelta
- [ ] pandas.TimedeltaIndex.mean
- [ ] pandas.PeriodIndex.day
- [ ] pandas.PeriodIndex.dayofweek
- [ ] pandas.PeriodIndex.day_of_week
- [ ] pandas.PeriodIndex.dayofyear
- [ ] pandas.PeriodIndex.day_of_year
- [ ] pandas.PeriodIndex.days_in_month
- [ ] pandas.PeriodIndex.daysinmonth
- [ ] pandas.PeriodIndex.freq
- [ ] pandas.PeriodIndex.freqstr
- [ ] pandas.PeriodIndex.hour
- [ ] pandas.PeriodIndex.is_leap_year
- [ ] pandas.PeriodIndex.minute
- [ ] pandas.PeriodIndex.month
- [ ] pandas.PeriodIndex.quarter
- [ ] pandas.PeriodIndex.second
- [ ] pandas.PeriodIndex.week
- [ ] pandas.PeriodIndex.weekday
- [ ] pandas.PeriodIndex.weekofyear
- [ ] pandas.PeriodIndex.year
- [ ] pandas.PeriodIndex.to_timestamp
- [ ] pandas.infer_freq
- [ ] pandas.util.hash_array
- [ ] pandas.util.hash_- [ ] pandas.object
- [ ] pandas.tseries.offsets.DateOffset.__call__
- [ ] pandas.tseries.offsets.BusinessDay
- [ ] pandas.tseries.offsets.BDay
- [ ] pandas.tseries.offsets.BusinessDay.__call__
- [ ] pandas.tseries.offsets.BusinessHour
- [ ] pandas.tseries.offsets.BusinessHour.__call__
- [ ] pandas.tseries.offsets.CustomBusinessDay
- [ ] pandas.tseries.offsets.CDay
- [ ] pandas.tseries.offsets.CustomBusinessDay.__call__
- [ ] pandas.tseries.offsets.CustomBusinessHour
- [ ] pandas.tseries.offsets.CustomBusinessHour.__call__
- [ ] pandas.tseries.offsets.MonthEnd
- [ ] pandas.tseries.offsets.MonthEnd.__call__
- [ ] pandas.tseries.offsets.MonthBegin
- [ ] pandas.tseries.offsets.MonthBegin.__call__
- [ ] pandas.tseries.offsets.BusinessMonthEnd.__call__
- [ ] pandas.tseries.offsets.BusinessMonthBegin.__call__
- [ ] pandas.tseries.offsets.CustomBusinessMonthEnd.__call__
- [ ] pandas.tseries.offsets.CustomBusinessMonthBegin.__call__
- [ ] pandas.tseries.offsets.SemiMonthEnd
- [ ] pandas.tseries.offsets.SemiMonthEnd.__call__
- [ ] pandas.tseries.offsets.SemiMonthBegin
- [ ] pandas.tseries.offsets.SemiMonthBegin.__call__
- [ ] pandas.tseries.offsets.Week
- [ ] pandas.tseries.offsets.Week.__call__
- [ ] pandas.tseries.offsets.WeekOfMonth
- [ ] pandas.tseries.offsets.WeekOfMonth.__call__
- [ ] pandas.tseries.offsets.LastWeekOfMonth
- [ ] pandas.tseries.offsets.LastWeekOfMonth.__call__
- [ ] pandas.tseries.offsets.BQuarterEnd.__call__
- [ ] pandas.tseries.offsets.BQuarterBegin.__call__
- [ ] pandas.tseries.offsets.QuarterEnd
- [ ] pandas.tseries.offsets.QuarterEnd.__call__
- [ ] pandas.tseries.offsets.QuarterBegin
- [ ] pandas.tseries.offsets.QuarterBegin.__call__
- [ ] pandas.tseries.offsets.BYearEnd.__call__
- [ ] pandas.tseries.offsets.BYearBegin.__call__
- [ ] pandas.tseries.offsets.YearEnd
- [ ] pandas.tseries.offsets.YearEnd.__call__
- [ ] pandas.tseries.offsets.YearBegin
- [ ] pandas.tseries.offsets.YearBegin.__call__
- [ ] pandas.tseries.offsets.FY5253
- [ ] pandas.tseries.offsets.FY5253.__call__
- [ ] pandas.tseries.offsets.FY5253Quarter
- [ ] pandas.tseries.offsets.FY5253Quarter.__call__
- [ ] pandas.tseries.offsets.Easter
- [ ] pandas.tseries.offsets.Easter.__call__
- [ ] pandas.tseries.offsets.Tick.__call__
- [ ] pandas.tseries.offsets.Day.__call__
- [ ] pandas.tseries.offsets.Hour.__call__
- [ ] pandas.tseries.offsets.Minute.__call__
- [ ] pandas.tseries.offsets.Second.__call__
- [ ] pandas.tseries.offsets.Milli.__call__
- [ ] pandas.tseries.offsets.Micro.__call__
- [ ] pandas.tseries.offsets.Nano.__call__
- [ ] pandas.core.groupby.GroupBy.__iter__
- [ ] pandas.core.groupby.GroupBy.groups
- [ ] pandas.core.groupby.GroupBy.indices
- [ ] pandas.core.groupby.GroupBy.get_group
- [ ] pandas.core.groupby.GroupBy.apply
- [ ] pandas.core.groupby.GroupBy.all
- [ ] pandas.core.groupby.GroupBy.any
- [ ] pandas.core.groupby.GroupBy.bfill
- [ ] pandas.core.groupby.GroupBy.backfill
- [ ] pandas.core.groupby.GroupBy.count
- [ ] pandas.core.groupby.GroupBy.cummax
- [ ] pandas.core.groupby.GroupBy.cummin
- [ ] pandas.core.groupby.GroupBy.cumprod
- [ ] pandas.core.groupby.GroupBy.cumsum
- [ ] pandas.core.groupby.GroupBy.ffill
- [ ] pandas.core.groupby.GroupBy.first
- [ ] pandas.core.groupby.GroupBy.last
- [ ] pandas.core.groupby.GroupBy.max
- [ ] pandas.core.groupby.GroupBy.median
- [ ] pandas.core.groupby.GroupBy.min
- [ ] pandas.core.groupby.GroupBy.ohlc
- [ ] pandas.core.groupby.GroupBy.pad
- [ ] pandas.core.groupby.GroupBy.prod
- [ ] pandas.core.groupby.GroupBy.rank
- [ ] pandas.core.groupby.GroupBy.pct_change
- [ ] pandas.core.groupby.GroupBy.size
- [ ] pandas.core.groupby.GroupBy.sem
- [ ] pandas.core.groupby.GroupBy.std
- [ ] pandas.core.groupby.GroupBy.sum
- [ ] pandas.core.groupby.GroupBy.var
- [ ] pandas.core.groupby.DataFrameGroupBy.all
- [ ] pandas.core.groupby.DataFrameGroupBy.any
- [ ] pandas.core.groupby.DataFrameGroupBy.backfill
- [ ] pandas.core.groupby.DataFrameGroupBy.bfill
- [ ] pandas.core.groupby.DataFrameGroupBy.count
- [ ] pandas.core.groupby.DataFrameGroupBy.cummax
- [ ] pandas.core.groupby.DataFrameGroupBy.cummin
- [ ] pandas.core.groupby.DataFrameGroupBy.cumprod
- [ ] pandas.core.groupby.DataFrameGroupBy.cumsum
- [ ] pandas.core.groupby.DataFrameGroupBy.ffill
- [ ] pandas.core.groupby.DataFrameGroupBy.mad
- [ ] pandas.core.groupby.DataFrameGroupBy.pad
- [ ] pandas.core.groupby.DataFrameGroupBy.pct_change
- [ ] pandas.core.groupby.DataFrameGroupBy.plot
- [ ] pandas.core.groupby.DataFrameGroupBy.rank
- [ ] pandas.core.groupby.DataFrameGroupBy.shift
- [ ] pandas.core.groupby.DataFrameGroupBy.size
- [ ] pandas.core.groupby.DataFrameGroupBy.skew
- [ ] pandas.core.groupby.DataFrameGroupBy.tshift
- [ ] pandas.core.groupby.SeriesGroupBy.hist
- [ ] pandas.core.groupby.SeriesGroupBy.nunique
- [ ] pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing
- [ ] pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing
- [ ] pandas.core.groupby.DataFrameGroupBy.corrwith
- [ ] pandas.Series
- [ ] pandas.Series.index
- [ ] pandas.Series.dtype
- [ ] pandas.Series.shape
- [ ] pandas.Series.nbytes
- [ ] pandas.Series.ndim
- [ ] pandas.Series.size
- [ ] pandas.Series.T
- [ ] pandas.Series.hasnans
- [ ] pandas.Series.dtypes
- [ ] pandas.Series.to_period
- [ ] pandas.Series.to_timestamp
- [ ] pandas.Series.to_list
- [ ] pandas.Series.get
- [ ] pandas.Series.__iter__
- [ ] pandas.Series.keys
- [ ] pandas.Series.item
- [ ] pandas.Series.pipe
- [ ] pandas.Series.kurt
- [ ] pandas.Series.mad
- [ ] pandas.Series.mean
- [ ] pandas.Series.median
- [ ] pandas.Series.mode
- [ ] pandas.Series.sem
- [ ] pandas.Series.skew
- [ ] pandas.Series.std
- [ ] pandas.Series.var
- [ ] pandas.Series.kurtosis
- [ ] pandas.Series.is_unique
- [ ] pandas.Series.is_monotonic
- [ ] pandas.Series.is_monotonic_increasing
- [ ] pandas.Series.is_monotonic_decreasing
- [ ] pandas.Series.align
- [ ] pandas.Series.backfill
- [ ] pandas.Series.bfill
- [ ] pandas.Series.ffill
- [ ] pandas.Series.pad
- [ ] pandas.Series.argsort
- [ ] pandas.Series.reorder_levels
- [ ] pandas.Series.swaplevel
- [ ] pandas.Series.ravel
- [ ] pandas.Series.first_valid_index
- [ ] pandas.Series.last_valid_index
- [ ] pandas.Series.tz_convert
- [ ] pandas.Series.tshift
- [ ] pandas.Series.slice_shift
- [ ] pandas.Series.dt.date
- [ ] pandas.Series.dt.time
- [ ] pandas.Series.dt.timetz
- [ ] pandas.Series.dt.week
- [ ] pandas.Series.dt.weekofyear
- [ ] pandas.Series.dt.dayofyear
- [ ] pandas.Series.dt.day_of_year
- [ ] pandas.Series.dt.quarter
- [ ] pandas.Series.dt.daysinmonth
- [ ] pandas.Series.dt.days_in_month
- [ ] pandas.Series.dt.tz
- [ ] pandas.Series.dt.days
- [ ] pandas.Series.dt.seconds
- [ ] pandas.Series.dt.microseconds
- [ ] pandas.Series.dt.nanoseconds
- [ ] pandas.Series.str.center
- [ ] pandas.Series.str.decode
- [ ] pandas.Series.str.encode
- [ ] pandas.Series.str.find
- [ ] pandas.Series.str.index
- [ ] pandas.Series.str.ljust
- [ ] pandas.Series.str.match
- [ ] pandas.Series.str.normalize
- [ ] pandas.Series.str.rfind
- [ ] pandas.Series.str.rindex
- [ ] pandas.Series.str.rjust
- [ ] pandas.Series.str.translate
- [ ] pandas.Series.sparse
- [ ] pandas.DataFrame.sparse
- [ ] pandas.Series.cat.categories
- [ ] pandas.Series.cat.ordered
- [ ] pandas.Series.cat.codes
- [ ] pandas.Series.cat.reorder_categories
- [ ] pandas.Series.cat.add_categories
- [ ] pandas.Series.cat.remove_categories
- [ ] pandas.Series.cat.remove_unused_categories
- [ ] pandas.Series.cat.set_categories
- [ ] pandas.Series.cat.as_ordered
- [ ] pandas.Series.cat.as_unordered
- [ ] pandas.Series.sparse.fill_value
- [ ] pandas.Series.attrs
- [ ] pandas.Series.plot
- [ ] pandas.Series.hist
- [ ] pandas.Series.to_string
- [ ] pandas.api.extensions.ExtensionDtype
- [ ] pandas.api.extensions.ExtensionArray
- [ ] pandas.arrays.- [ ] pandas.rray
- [ ] pandas.api.extensions.ExtensionArray._concat_same_type
- [ ] pandas.api.extensions.ExtensionArray._formatter
- [ ] pandas.api.extensions.ExtensionArray._from_factorized
- [ ] pandas.api.extensions.ExtensionArray._from_sequence
- [ ] pandas.api.extensions.ExtensionArray._from_sequence_of_strings
- [ ] pandas.api.extensions.ExtensionArray._reduce
- [ ] pandas.api.extensions.ExtensionArray._values_for_argsort
- [ ] pandas.api.extensions.ExtensionArray._values_for_factorize
- [ ] pandas.api.extensions.ExtensionArray.argsort
- [ ] pandas.api.extensions.ExtensionArray.astype
- [ ] pandas.api.extensions.ExtensionArray.copy
- [ ] pandas.api.extensions.ExtensionArray.view
- [ ] pandas.api.extensions.ExtensionArray.dropna
- [ ] pandas.api.extensions.ExtensionArray.equals
- [ ] pandas.api.extensions.ExtensionArray.factorize
- [ ] pandas.api.extensions.ExtensionArray.fillna
- [ ] pandas.api.extensions.ExtensionArray.isna
- [ ] pandas.api.extensions.ExtensionArray.ravel
- [ ] pandas.api.extensions.ExtensionArray.searchsorted
- [ ] pandas.api.extensions.ExtensionArray.shift
- [ ] pandas.api.extensions.ExtensionArray.unique
- [ ] pandas.api.extensions.ExtensionArray.dtype
- [ ] pandas.api.extensions.ExtensionArray.nbytes
- [ ] pandas.api.extensions.ExtensionArray.ndim
- [ ] pandas.api.extensions.ExtensionArray.shape
- [ ] pandas.plotting.deregister_matplotlib_converters
- [ ] pandas.plotting.plot_params
- [ ] pandas.plotting.register_matplotlib_converters
- [ ] pandas.plotting.table
- [ ] pandas.read_clipboard
- [ ] pandas.ExcelFile.parse
- [ ] pandas.HDFStore.put
- [ ] pandas.HDFStore.append
- [ ] pandas.HDFStore.get
- [ ] pandas.HDFStore.select
- [ ] pandas.HDFStore.info
- [ ] pandas.HDFStore.keys
- [ ] pandas.HDFStore.groups
- [ ] pandas.HDFStore.walk
- [ ] pandas.read_feather
- [ ] pandas.read_parquet
- [ ] pandas.read_orc
- [ ] pandas.read_sas
- [ ] pandas.read_spss
- [ ] pandas.read_sql_query
- [ ] pandas.read_sql
- [ ] pandas.read_gbq
- [ ] pandas.io.stata.StataReader.data_label
- [ ] pandas.io.stata.StataReader.value_labels
- [ ] pandas.io.stata.StataReader.variable_labels
- [ ] pandas.core.resample.Resampler.__iter__
- [ ] pandas.core.resample.Resampler.groups
- [ ] pandas.core.resample.Resampler.indices
- [ ] pandas.core.resample.Resampler.get_group
- [ ] pandas.core.resample.Resampler.ffill
- [ ] pandas.core.resample.Resampler.pad
- [ ] pandas.core.resample.Resampler.asfreq
- [ ] pandas.core.resample.Resampler.count
- [ ] pandas.core.resample.Resampler.nunique
- [ ] pandas.core.resample.Resampler.first
- [ ] pandas.core.resample.Resampler.last
- [ ] pandas.core.resample.Resampler.max
- [ ] pandas.core.resample.Resampler.median
- [ ] pandas.core.resample.Resampler.min
- [ ] pandas.core.resample.Resampler.ohlc
- [ ] pandas.core.resample.Resampler.prod
- [ ] pandas.core.resample.Resampler.size
- [ ] pandas.core.resample.Resampler.sem
- [ ] pandas.core.resample.Resampler.std
- [ ] pandas.core.resample.Resampler.sum
- [ ] pandas.core.resample.Resampler.var
- [ ] pandas.core.resample.Resampler.quantile