cudf.Index.is_floating#

Index.is_floating()#

Check if the Index is a floating type.

The Index may consist of only floats, NaNs, or a mix of floats, integers, or NaNs.

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

Returns:

bool: Whether or not the Index only consists of only consists of floats, NaNs, or a mix of floats, integers, or NaNs.

See also

is_boolean: Check if the Index only consists of booleans.
is_integer: Check if the Index only consists of integers.
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

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