modin.pandas.Index.is_numeric¶
- Index.is_numeric() bool[source]¶
Check if the Index only consists of numeric data.
Deprecated: Use pandas.api.types.is_numeric_dtype instead.
- Returns:
Whether the Index only consists of numeric data.
- Return type:
bool
See also
is_booleanCheck if the Index only consists of booleans (deprecated).
is_integerCheck if the Index only consists of integers (deprecated).
is_floatingCheck if the Index is a floating type (deprecated).
is_objectCheck if the Index is of the object dtype. (deprecated).
is_categoricalCheck if the Index holds categorical data (deprecated).
is_intervalCheck if the Index holds Interval objects (deprecated).
Examples
>>> idx = pd.Index([1.0, 2.0, 3.0, 4.0]) >>> idx.is_numeric() True
>>> idx = pd.Index([1, 2, 3, 4.0]) >>> idx.is_numeric() True
>>> idx = pd.Index([1, 2, 3, 4]) >>> idx.is_numeric() True
>>> idx = pd.Index([1, 2, 3, 4.0, np.nan]) >>> idx.is_numeric() True
>>> idx = pd.Index([1, 2, 3, 4.0, np.nan, "Apple"]) >>> idx.is_numeric() False