pandas.Index.is_interval

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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https://pandas.pydata.org/pandas-docs/version/1.3.4/reference/api/pandas.Index.is_interval.html