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入门
用户指南
API 参考
开发
发行说明
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Site Navigation
入门
用户指南
API 参考
开发
发行说明
GitHub
Twitter
Mastodon
输入/输出
通用功能
系列
DataFrame
pandas 数组、标量和数据类型
pandas.array
pandas.arrays.ArrowExtensionArray
pandas.ArrowDtype
pandas.Timestamp
pandas.Timestamp.asm8
pandas.Timestamp.day
pandas.Timestamp.dayofweek
pandas.Timestamp.day_of_week
pandas.Timestamp.dayofyear
pandas.Timestamp.day_of_year
pandas.Timestamp.days_in_month
pandas.Timestamp.daysinmonth
pandas.Timestamp.fold
pandas.Timestamp.hour
pandas.Timestamp.is_leap_year
pandas.Timestamp.is_month_end
pandas.Timestamp.is_month_start
pandas.Timestamp.is_quarter_end
pandas.Timestamp.is_quarter_start
pandas.Timestamp.is_year_end
pandas.Timestamp.is_year_start
pandas.Timestamp.max
pandas.Timestamp.microsecond
pandas.Timestamp.min
pandas.Timestamp.minute
pandas.Timestamp.month
pandas.Timestamp.nanosecond
pandas.Timestamp.quarter
pandas.Timestamp.resolution
pandas.Timestamp.second
pandas.Timestamp.tz
pandas.Timestamp.tzinfo
pandas.Timestamp.unit
pandas.Timestamp.value
pandas.Timestamp.week
pandas.Timestamp.weekofyear
pandas.Timestamp.year
pandas.Timestamp.as_unit
pandas.Timestamp.astimezone
pandas.Timestamp.ceil
pandas.Timestamp.combine
pandas.Timestamp.ctime
pandas.Timestamp.date
pandas.Timestamp.day_name
pandas.Timestamp.dst
pandas.Timestamp.floor
pandas.Timestamp.fromordinal
pandas.Timestamp.fromtimestamp
pandas.Timestamp.isocalendar
pandas.Timestamp.isoformat
pandas.Timestamp.isoweekday
pandas.Timestamp.month_name
pandas.Timestamp.normalize
pandas.Timestamp.now
pandas.Timestamp.replace
pandas.Timestamp.round
pandas.Timestamp.strftime
pandas.Timestamp.strptime
pandas.Timestamp.time
pandas.Timestamp.timestamp
pandas.Timestamp.timetuple
pandas.Timestamp.timetz
pandas.Timestamp.to_datetime64
pandas.Timestamp.to_numpy
pandas.Timestamp.to_julian_date
pandas.Timestamp.to_period
pandas.Timestamp.to_pydatetime
pandas.Timestamp.today
pandas.Timestamp.toordinal
pandas.Timestamp.tz_convert
pandas.Timestamp.tz_localize
pandas.Timestamp.tzname
pandas.Timestamp.utcfromtimestamp
pandas.Timestamp.utcnow
pandas.Timestamp.utcoffset
pandas.Timestamp.utctimetuple
pandas.Timestamp.weekday
pandas.arrays.DatetimeArray
pandas.DatetimeTZDtype
pandas.Timedelta
pandas.Timedelta.asm8
pandas.Timedelta.components
pandas.Timedelta.days
pandas.Timedelta.max
pandas.Timedelta.microseconds
pandas.Timedelta.min
pandas.Timedelta.nanoseconds
pandas.Timedelta.resolution
pandas.Timedelta.seconds
pandas.Timedelta.unit
pandas.Timedelta.value
pandas.Timedelta.view
pandas.Timedelta.as_unit
pandas.Timedelta.ceil
pandas.Timedelta.floor
pandas.Timedelta.isoformat
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.day
pandas.Period.dayofweek
pandas.Period.day_of_week
pandas.Period.dayofyear
pandas.Period.day_of_year
pandas.Period.days_in_month
pandas.Period.daysinmonth
pandas.Period.end_time
pandas.Period.freq
pandas.Period.freqstr
pandas.Period.hour
pandas.Period.is_leap_year
pandas.Period.minute
pandas.Period.month
pandas.Period.ordinal
pandas.Period.quarter
pandas.Period.qyear
pandas.Period.second
pandas.Period.start_time
pandas.Period.week
pandas.Period.weekday
pandas.Period.weekofyear
pandas.Period.year
pandas.Period.asfreq
pandas.Period.now
pandas.Period.strftime
pandas.Period.to_timestamp
pandas.arrays.PeriodArray
pandas.PeriodDtype
pandas.Interval
pandas.Interval.closed
pandas.Interval.closed_left
pandas.Interval.closed_right
pandas.Interval.is_empty
pandas.Interval.left
pandas.Interval.length
pandas.Interval.mid
pandas.Interval.open_left
pandas.Interval.open_right
pandas.Interval.overlaps
pandas.Interval.right
pandas.arrays.IntervalArray
pandas.IntervalDtype
pandas.arrays.IntegerArray
pandas.Int8Dtype
pandas.Int16Dtype
pandas.Int32Dtype
pandas.Int64Dtype
pandas.UInt8Dtype
pandas.UInt16Dtype
pandas.UInt32Dtype
pandas.UInt64Dtype
pandas.arrays.FloatingArray
pandas.Float32Dtype
pandas.Float64Dtype
pandas.CategoricalDtype
pandas.CategoricalDtype.categories
pandas.CategoricalDtype.ordered
pandas.Categorical
pandas.Categorical.from_codes
pandas.Categorical.dtype
pandas.Categorical.categories
pandas.Categorical.ordered
pandas.Categorical.codes
pandas.Categorical.__array__
pandas.Categorical.as_ordered
pandas.Categorical.as_unordered
pandas.Categorical.set_categories
pandas.Categorical.rename_categories
pandas.Categorical.reorder_categories
pandas.Categorical.add_categories
pandas.Categorical.remove_categories
pandas.Categorical.remove_unused_categories
pandas.Categorical.map
pandas.arrays.SparseArray
pandas.SparseDtype
pandas.arrays.StringArray
pandas.arrays.ArrowStringArray
pandas.StringDtype
pandas.arrays.BooleanArray
pandas.BooleanDtype
pandas.api.types.union_categoricals
pandas.api.types.infer_dtype
pandas.api.types.pandas_dtype
pandas.api.types.is_any_real_numeric_dtype
pandas.api.types.is_bool_dtype
pandas.api.types.is_categorical_dtype
pandas.api.types.is_complex_dtype
pandas.api.types.is_datetime64_any_dtype
pandas.api.types.is_datetime64_dtype
pandas.api.types.is_datetime64_ns_dtype
pandas.api.types.is_datetime64tz_dtype
pandas.api.types.is_extension_array_dtype
pandas.api.types.is_float_dtype
pandas.api.types.is_int64_dtype
pandas.api.types.is_integer_dtype
pandas.api.types.is_interval_dtype
pandas.api.types.is_numeric_dtype
pandas.api.types.is_object_dtype
pandas.api.types.is_period_dtype
pandas.api.types.is_signed_integer_dtype
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.api.types.is_sparse
pandas.api.types.is_dict_like
请翻译以下为中文：
pandas.api.types.is_list_like
pandas.api.types.is_named_tuple
pandas.api.types.is_iterator
pandas.api.types.is_bool
pandas.api.types.is_complex
pandas.api.types.is_float
pandas.api.types.is_hashable
pandas.api.types.is_integer
pandas.api.types.is_number
pandas.api.types.is_re
pandas.api.types.is_re_compilable
pandas.api.types.is_scalar
索引对象
日期偏移量
窗口
GroupBy
重采样
风格
绘图
选项和设置
扩展
测试
缺失值
API 参考
pandas 数组、标量和数据类型
pandas.Period.freq
pandas.Period.freq
#
Period.
freq
#
!! 由 numpydoc 处理 !!
On this page
Period.freq
显示源代码