Module « pandas »

Classe « RangeIndex »

Informations générales

Héritage

builtins.object
    DirNamesMixin
        PandasObject
builtins.object
    OpsMixin
        IndexOpsMixin
            Index
                NumericIndex
                    IntegerIndex
                        Int64Index
                            RangeIndex

Définition

class RangeIndex(Int64Index):

Description _{[extrait de RangeIndex.doc]}

    Immutable Index implementing a monotonic integer range.

    RangeIndex is a memory-saving special case of Int64Index limited to
    representing monotonic ranges. Using RangeIndex may in some instances
    improve computing speed.

    This is the default index type used
    by DataFrame and Series when no explicit index is provided by the user.

    Parameters
    ----------
    start : int (default: 0), or other RangeIndex instance
        If int and "stop" is not given, interpreted as "stop" instead.
    stop : int (default: 0)
    step : int (default: 1)
    dtype : np.int64
        Unused, accepted for homogeneity with other index types.
    copy : bool, default False
        Unused, accepted for homogeneity with other index types.
    name : object, optional
        Name to be stored in the index.

    Attributes
    ----------
    start
    stop
    step

    Methods
    -------
    from_range

    See Also
    --------
    Index : The base pandas Index type.
    Int64Index : Index of int64 data.

Constructeur(s)

Signature du constructeur	Description
__new__(cls, start=None, stop=None, step=None, dtype=None, copy=False, name=None)

Liste des attributs statiques

Nom de l'attribut	Valeur
array	<pandas._libs.properties.CachedProperty object at 0x7f504b9fe2c0>
hasnans	<pandas._libs.properties.CachedProperty object at 0x7f504bd34d40>
is_all_dates	<pandas._libs.properties.CachedProperty object at 0x7f504bd34c40>
is_monotonic_decreasing	<pandas._libs.properties.CachedProperty object at 0x7f504b6c1840>
is_monotonic_increasing	<pandas._libs.properties.CachedProperty object at 0x7f504b6c17c0>
nbytes	<pandas._libs.properties.CachedProperty object at 0x7f504b6c1680>
start	<pandas._libs.properties.CachedProperty object at 0x7f504b6c15c0>
step	<pandas._libs.properties.CachedProperty object at 0x7f504b6c1640>
stop	<pandas._libs.properties.CachedProperty object at 0x7f504b6c1600>

Attributs statiques hérités de la classe Int64Index

dtype, is_unique

Attributs statiques hérités de la classe NumericIndex

inferred_type

Liste des propriétés

Nom de la propriété	Description
asi8
dtype
empty
has_duplicates
inferred_type
is_monotonic
is_unique	return if the index has unique values _{[extrait de __doc__]}
name
names
ndim
nlevels
shape
size
T
values

Propriétés héritées de la classe Int64Index

is_monotonic_decreasing, is_monotonic_increasing, nbytes

Propriétés héritées de la classe IndexOpsMixin

array

Liste des opérateurs

Signature de l'opérateur	Description
__contains__(self, key: Any) -> bool
__floordiv__(self, other)
__getitem__(self, key)

Opérateurs hérités de la classe Index

__and__, __iadd__, __inv__, __neg__, __or__, __pos__, __setitem__, __xor__

Opérateurs hérités de la classe OpsMixin

__add__, __eq__, __ge__, __gt__, __le__, __lt__, __mod__, __mul__, __ne__, __pow__, __radd__, __rand__, __rfloordiv__, __rmod__, __rmul__, __ror__, __rpow__, __rsub__, __rtruediv__, __rxor__, __sub__, __truediv__

Liste des méthodes

Toutes les méthodes Méthodes d'instance Méthodes statiques

Signature de la méthode	Description
__iter__(self)
__len__(self) -> int
__reduce__(self)
all(self, args, *kwargs) -> bool
any(self, args, *kwargs) -> bool
argsort(self, args, *kwargs) -> numpy.ndarray
copy(self, name=None, deep=False, dtype=None, names=None)
difference(self, other, sort=None)
equals(self, other: object) -> bool
factorize(self, sort: bool = False, na_sentinel: Optional[int] = -1) -> Tuple[numpy.ndarray, ForwardRef('RangeIndex')]
from_range(data: range, name=None, dtype=None) -> 'RangeIndex'
get_indexer(self, target, method=None, limit=None, tolerance=None)
get_loc(self, key, method=None, tolerance=None)
join(self, other, how='left', level=None, return_indexers=False, sort=False)
max(self, axis=None, skipna=True, args, *kwargs) -> int	The maximum value of the RangeIndex _{[extrait de max.__doc__]}
memory_usage(self, deep: bool = False) -> int
min(self, axis=None, skipna=True, args, *kwargs) -> int	The minimum value of the RangeIndex _{[extrait de min.__doc__]}
symmetric_difference(self, other, result_name=None, sort=None)
tolist(self)

Méthodes héritées de la classe Int64Index

__init_subclass__, __subclasshook__

Méthodes héritées de la classe NumericIndex

insert

Méthodes héritées de la classe Index

__abs__, __array__, __array_wrap__, __bool__, __copy__, __deepcopy__, __hash__, __nonzero__, __repr__, append, asof, asof_locs, astype, delete, drop, drop_duplicates, droplevel, dropna, duplicated, fillna, format, get_indexer_for, get_indexer_non_unique, get_level_values, get_slice_bound, get_value, groupby, holds_integer, identical, intersection, is_, is_boolean, is_categorical, is_floating, is_integer, is_interval, is_mixed, is_numeric, is_object, is_type_compatible, isin, isna, isnull, map, notna, notnull, putmask, ravel, reindex, rename, repeat, set_names, set_value, shift, slice_indexer, slice_locs, sort, sort_values, sortlevel, take, to_flat_index, to_frame, to_native_types, to_series, union, unique, view, where

Méthodes héritées de la classe PandasObject

__sizeof__

Méthodes héritées de la classe DirNamesMixin

__dir__

Méthodes héritées de la classe IndexOpsMixin

argmax, argmin, item, nunique, searchsorted, to_list, to_numpy, transpose, value_counts

Méthodes héritées de la classe OpsMixin

__divmod__, __rdivmod__

Méthodes héritées de la classe object

__delattr__, __format__, __getattribute__, __reduce_ex__, __setattr__, __str__

Améliorations / Corrections