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pandas.Index.is_interval
- finalIndex.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/1.5.0/reference/api/pandas.Index.is_interval.html