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pandas.Index.is_interval¶

final Index.is_interval()[source]¶

Check if the Index holds Interval objects.

Returns:

bool: Whether or not the Index holds Interval objects.

See also

IntervalIndex: Index for Interval objects.
is_boolean: Check if the Index only consists of booleans.
is_integer: Check if the Index only consists of integers.
is_floating: Check if the Index is a floating type.
is_numeric: Check if the Index only consists of numeric data.
is_object: Check if the Index is of the object dtype.
is_categorical: Check if the Index holds categorical data.
is_mixed: Check if the Index holds data with mixed data types.

Examples

>>> idx = pd.Index([pd.Interval(left=0, right=5),
...                 pd.Interval(left=5, right=10)])
>>> idx.is_interval()
True

>>> idx = pd.Index([1, 3, 5, 7])
>>> idx.is_interval()
False

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