pandas.Index.is_mixed
- Index.is_mixed()[source]
-
Check if the Index holds data with mixed data types.
- Returns
-
- bool
-
Whether or not the Index holds data with mixed data types.
See also
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_interval
-
Check if the Index holds Interval objects.
Examples
>>> idx = pd.Index(['a', np.nan, 'b']) >>> idx.is_mixed() True
>>> idx = pd.Index([1.0, 2.0, 3.0, 5.0]) >>> idx.is_mixed() 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_mixed.html