xarray.CFTimeIndex.is_categorical¶
-
CFTimeIndex.
is_categorical
()¶ Check if the Index holds categorical data.
- Returns
True if the Index is categorical.
- Return type
See also
CategoricalIndex()
Index for categorical data.
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_interval()
Check if the Index holds Interval objects.
is_mixed()
Check if the Index holds data with mixed data types.
Examples
>>> idx = pd.Index(["Watermelon", "Orange", "Apple", ... "Watermelon"]).astype("category") >>> idx.is_categorical() True
>>> idx = pd.Index([1, 3, 5, 7]) >>> idx.is_categorical() False
>>> s = pd.Series(["Peter", "Victor", "Elisabeth", "Mar"]) >>> s 0 Peter 1 Victor 2 Elisabeth 3 Mar dtype: object >>> s.index.is_categorical() False