pandas.Index.is_object#
- final Index.is_object()[source]#
Check if the Index is of the object dtype.
- Returns
- bool
Whether or not the Index is of the object dtype.
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_categorical
Check if the Index holds categorical data.
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(["Apple", "Mango", "Watermelon"]) >>> idx.is_object() True
>>> idx = pd.Index(["Apple", "Mango", 2.0]) >>> idx.is_object() True
>>> idx = pd.Index(["Watermelon", "Orange", "Apple", ... "Watermelon"]).astype("category") >>> idx.is_object() False
>>> idx = pd.Index([1.0, 2.0, 3.0, 4.0]) >>> idx.is_object() False