cudf.Index.is_numeric#

Index.is_numeric()[source]#

Check if the Index only consists of numeric data.

Deprecated since version 23.04: Use cudf.api.types.is_any_real_numeric_dtype instead.

Returns:

bool: Whether or not the Index only consists of numeric data.

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_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

>>> import cudf
>>> idx = cudf.Index([1.0, 2.0, 3.0, 4.0])
>>> idx.is_numeric()
True
>>> idx = cudf.Index([1, 2, 3, 4.0])
>>> idx.is_numeric()
True
>>> idx = cudf.Index([1, 2, 3, 4])
>>> idx.is_numeric()
True
>>> idx = cudf.Index([1, 2, 3, 4.0, np.nan])
>>> idx.is_numeric()
True
>>> idx = cudf.Index(["Apple", "cold"])
>>> idx.is_numeric()
False