pandas 1.4.2

NotesParametersBackRef

Notes

An Index instance can only contain hashable objects

Parameters

data : array-like (1-dimensional)
dtype : NumPy dtype (default: object)

If dtype is None, we find the dtype that best fits the data. If an actual dtype is provided, we coerce to that dtype if it's safe. Otherwise, an error will be raised.

copy : bool

Make a copy of input ndarray.

name : object

Name to be stored in the index.

tupleize_cols : bool (default: True)

When True, attempt to create a MultiIndex if possible.

Immutable sequence used for indexing and alignment. The basic object storing axis labels for all pandas objects.

See Also

CategoricalIndex

Index of :None:class:`Categorical` s.

DatetimeIndex

Index of datetime64 data.

Float64Index

Index of purely float64 labels (deprecated).

Int64Index

Index of purely int64 labels (deprecated).

IntervalIndex

An Index of :None:class:`Interval` s.

MultiIndex

A multi-level, or hierarchical Index.

NumericIndex

Index of numpy int/uint/float data.

PeriodIndex

Index of Period data.

RangeIndex

Index implementing a monotonic integer range.

TimedeltaIndex

Index of timedelta64 data.

UInt64Index

Index of purely uint64 labels (deprecated).

Examples

This example is valid syntax, but we were not able to check execution
>>> pd.Index([1, 2, 3])
Int64Index([1, 2, 3], dtype='int64')
This example is valid syntax, but we were not able to check execution
>>> pd.Index(list('abc'))
Index(['a', 'b', 'c'], dtype='object')
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.indexes.period.PeriodIndex pandas.core.indexes.timedeltas.TimedeltaIndex pandas.core.indexes.datetimes.DatetimeIndex pandas.core.indexes.numeric.UInt64Index pandas.core.indexes.numeric.NumericIndex pandas.core.indexes.range.RangeIndex pandas.core.indexes.base.Index.__getitem__ pandas.core.construction.array pandas.core.indexes.category.CategoricalIndex pandas.core.arrays.interval.IntervalArray pandas.core.indexes.numeric.Int64Index pandas.core.indexes.numeric.Float64Index pandas.core.indexes.multi.MultiIndex pandas.core.indexes.interval.IntervalIndex

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SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

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