pandas.Index.is_numeric#

finalIndex.is_numeric()[source]#

Check if the Index only consists of numeric data.

Deprecated since version 2.0.0:Usepandas.api.types.is_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 (deprecated).

is_integer

Check if the Index only consists of integers (deprecated).

is_floating

Check if the Index is a floating type (deprecated).

is_object

Check if the Index is of the object dtype. (deprecated).

is_categorical

Check if the Index holds categorical data (deprecated).

is_interval

Check 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