Pandas.name — Pandas 1.5.0 Documentation
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Site Navigation
- Getting started
- User Guide
- API reference
- Development
- Release notes
- GitHub
- Mastodon
- Input/output
- General functions
- Series
- DataFrame
- pandas arrays, scalars, and data types
- Index objects
- pandas.Index
- pandas.Index.values
- pandas.Index.is_monotonic_increasing
- pandas.Index.is_monotonic_decreasing
- pandas.Index.is_unique
- pandas.Index.has_duplicates
- pandas.Index.hasnans
- pandas.Index.dtype
- pandas.Index.inferred_type
- pandas.Index.shape
- pandas.Index.name
- pandas.Index.names
- pandas.Index.nbytes
- pandas.Index.ndim
- pandas.Index.size
- pandas.Index.empty
- pandas.Index.T
- pandas.Index.memory_usage
- pandas.Index.all
- pandas.Index.any
- pandas.Index.argmin
- pandas.Index.argmax
- pandas.Index.copy
- pandas.Index.delete
- pandas.Index.drop
- pandas.Index.drop_duplicates
- pandas.Index.duplicated
- pandas.Index.equals
- pandas.Index.factorize
- pandas.Index.identical
- pandas.Index.insert
- pandas.Index.is_
- pandas.Index.is_boolean
- pandas.Index.is_categorical
- pandas.Index.is_floating
- pandas.Index.is_integer
- pandas.Index.is_interval
- pandas.Index.is_numeric
- pandas.Index.is_object
- pandas.Index.min
- pandas.Index.max
- pandas.Index.reindex
- pandas.Index.rename
- pandas.Index.repeat
- pandas.Index.where
- pandas.Index.take
- pandas.Index.putmask
- pandas.Index.unique
- pandas.Index.nunique
- pandas.Index.value_counts
- pandas.Index.set_names
- pandas.Index.droplevel
- pandas.Index.fillna
- pandas.Index.dropna
- pandas.Index.isna
- pandas.Index.notna
- pandas.Index.astype
- pandas.Index.item
- pandas.Index.map
- pandas.Index.ravel
- pandas.Index.to_list
- pandas.Index.to_series
- pandas.Index.to_frame
- pandas.Index.view
- pandas.Index.argsort
- pandas.Index.searchsorted
- pandas.Index.sort_values
- pandas.Index.shift
- pandas.Index.append
- pandas.Index.join
- pandas.Index.intersection
- pandas.Index.union
- pandas.Index.difference
- pandas.Index.symmetric_difference
- pandas.Index.asof
- pandas.Index.asof_locs
- pandas.Index.get_indexer
- pandas.Index.get_indexer_for
- pandas.Index.get_indexer_non_unique
- pandas.Index.get_level_values
- pandas.Index.get_loc
- pandas.Index.get_slice_bound
- pandas.Index.isin
- pandas.Index.slice_indexer
- pandas.Index.slice_locs
- pandas.RangeIndex
- pandas.RangeIndex.start
- pandas.RangeIndex.stop
- pandas.RangeIndex.step
- pandas.RangeIndex.from_range
- pandas.CategoricalIndex
- pandas.CategoricalIndex.codes
- pandas.CategoricalIndex.categories
- pandas.CategoricalIndex.ordered
- pandas.CategoricalIndex.rename_categories
- 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.map
- pandas.CategoricalIndex.equals
- pandas.IntervalIndex
- pandas.IntervalIndex.from_arrays
- pandas.IntervalIndex.from_tuples
- pandas.IntervalIndex.from_breaks
- pandas.IntervalIndex.left
- pandas.IntervalIndex.right
- pandas.IntervalIndex.mid
- pandas.IntervalIndex.closed
- pandas.IntervalIndex.length
- pandas.IntervalIndex.values
- pandas.IntervalIndex.is_empty
- pandas.IntervalIndex.is_non_overlapping_monotonic
- pandas.IntervalIndex.is_overlapping
- pandas.IntervalIndex.get_loc
- pandas.IntervalIndex.get_indexer
- pandas.IntervalIndex.set_closed
- pandas.IntervalIndex.contains
- pandas.IntervalIndex.overlaps
- pandas.IntervalIndex.to_tuples
- pandas.MultiIndex
- pandas.MultiIndex.from_arrays
- pandas.MultiIndex.from_tuples
- pandas.MultiIndex.from_product
- pandas.MultiIndex.from_frame
- pandas.MultiIndex.names
- pandas.MultiIndex.levels
- pandas.MultiIndex.codes
- pandas.MultiIndex.nlevels
- pandas.MultiIndex.levshape
- pandas.MultiIndex.dtypes
- pandas.MultiIndex.set_levels
- pandas.MultiIndex.set_codes
- pandas.MultiIndex.to_flat_index
- pandas.MultiIndex.to_frame
- pandas.MultiIndex.sortlevel
- pandas.MultiIndex.droplevel
- pandas.MultiIndex.swaplevel
- pandas.MultiIndex.reorder_levels
- pandas.MultiIndex.remove_unused_levels
- pandas.MultiIndex.drop
- pandas.MultiIndex.copy
- pandas.MultiIndex.append
- pandas.MultiIndex.truncate
- pandas.MultiIndex.get_loc
- pandas.MultiIndex.get_locs
- pandas.MultiIndex.get_loc_level
- pandas.MultiIndex.get_indexer
- pandas.MultiIndex.get_level_values
- pandas.IndexSlice
- pandas.DatetimeIndex
- pandas.DatetimeIndex.year
- pandas.DatetimeIndex.month
- pandas.DatetimeIndex.day
- pandas.DatetimeIndex.hour
- pandas.DatetimeIndex.minute
- pandas.DatetimeIndex.second
- pandas.DatetimeIndex.microsecond
- pandas.DatetimeIndex.nanosecond
- pandas.DatetimeIndex.date
- pandas.DatetimeIndex.time
- pandas.DatetimeIndex.timetz
- pandas.DatetimeIndex.dayofyear
- pandas.DatetimeIndex.day_of_year
- pandas.DatetimeIndex.dayofweek
- pandas.DatetimeIndex.day_of_week
- pandas.DatetimeIndex.weekday
- pandas.DatetimeIndex.quarter
- pandas.DatetimeIndex.tz
- pandas.DatetimeIndex.freq
- pandas.DatetimeIndex.freqstr
- pandas.DatetimeIndex.is_month_start
- pandas.DatetimeIndex.is_month_end
- pandas.DatetimeIndex.is_quarter_start
- pandas.DatetimeIndex.is_quarter_end
- pandas.DatetimeIndex.is_year_start
- pandas.DatetimeIndex.is_year_end
- pandas.DatetimeIndex.is_leap_year
- pandas.DatetimeIndex.inferred_freq
- pandas.DatetimeIndex.indexer_at_time
- pandas.DatetimeIndex.indexer_between_time
- pandas.DatetimeIndex.normalize
- pandas.DatetimeIndex.strftime
- pandas.DatetimeIndex.snap
- pandas.DatetimeIndex.tz_convert
- pandas.DatetimeIndex.tz_localize
- pandas.DatetimeIndex.round
- pandas.DatetimeIndex.floor
- pandas.DatetimeIndex.ceil
- pandas.DatetimeIndex.month_name
- pandas.DatetimeIndex.day_name
- pandas.DatetimeIndex.as_unit
- pandas.DatetimeIndex.to_period
- pandas.DatetimeIndex.to_pydatetime
- pandas.DatetimeIndex.to_series
- pandas.DatetimeIndex.to_frame
- pandas.DatetimeIndex.mean
- pandas.DatetimeIndex.std
- pandas.TimedeltaIndex
- pandas.TimedeltaIndex.days
- pandas.TimedeltaIndex.seconds
- pandas.TimedeltaIndex.microseconds
- pandas.TimedeltaIndex.nanoseconds
- pandas.TimedeltaIndex.components
- pandas.TimedeltaIndex.inferred_freq
- pandas.TimedeltaIndex.as_unit
- pandas.TimedeltaIndex.to_pytimedelta
- pandas.TimedeltaIndex.to_series
- pandas.TimedeltaIndex.round
- pandas.TimedeltaIndex.floor
- pandas.TimedeltaIndex.ceil
- pandas.TimedeltaIndex.to_frame
- pandas.TimedeltaIndex.mean
- pandas.PeriodIndex
- 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.end_time
- 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.qyear
- pandas.PeriodIndex.second
- pandas.PeriodIndex.start_time
- pandas.PeriodIndex.week
- pandas.PeriodIndex.weekday
- pandas.PeriodIndex.weekofyear
- pandas.PeriodIndex.year
- pandas.PeriodIndex.asfreq
- pandas.PeriodIndex.strftime
- pandas.PeriodIndex.to_timestamp
- pandas.PeriodIndex.from_fields
- pandas.PeriodIndex.from_ordinals
- Date offsets
- Window
- GroupBy
- Resampling
- Style
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- Options and settings
- Extensions
- Testing
- Missing values
- API reference
- Index objects
- pandas.Index.rename
Alter Index or MultiIndex name.
Able to set new names without level. Defaults to returning new index. Length of names must match number of levels in MultiIndex.
Parameters: namelabel or list of labelsName(s) to set.
inplacebool, default FalseModifies the object directly, instead of creating a new Index or MultiIndex.
Returns: Index or NoneThe same type as the caller or None if inplace=True.
See also
Index.set_namesAble to set new names partially and by level.
Examples
>>> idx = pd.Index(['A', 'C', 'A', 'B'], name='score') >>> idx.rename('grade') Index(['A', 'C', 'A', 'B'], dtype='object', name='grade') >>> idx = pd.MultiIndex.from_product([['python', 'cobra'], ... [2018, 2019]], ... names=['kind', 'year']) >>> idx MultiIndex([('python', 2018), ('python', 2019), ( 'cobra', 2018), ( 'cobra', 2019)], names=['kind', 'year']) >>> idx.rename(['species', 'year']) MultiIndex([('python', 2018), ('python', 2019), ( 'cobra', 2018), ( 'cobra', 2019)], names=['species', 'year']) >>> idx.rename('species') Traceback (most recent call last): TypeError: Must pass list-like as `names`. On this page- Index.rename()
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