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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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.3.4/reference/api/pandas.Index.is_interval.html