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