pandas.Index.is_numeric

Index.is_numeric(self) → bool

Check if the Index only consists of numeric data.

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.

is_mixed

Check if the Index holds data with mixed data types.

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

pandas.Index.is_mixed pandas.Index.is_object