pandas 1.4.2

ReturnsBackRef
is_integer(self) -> 'bool'

Returns

bool

Whether or not the Index only consists of integers.

Check if the Index only consists of integers.

See Also

is_boolean

Check if the Index only consists of booleans.

is_categorical

Check if the Index holds categorical data.

is_floating

Check if the Index is a floating type.

is_interval

Check if the Index holds Interval objects.

is_mixed

Check if the Index holds data with mixed data types.

is_numeric

Check if the Index only consists of numeric data.

is_object

Check if the Index is of the object dtype.

Examples

This example is valid syntax, but we were not able to check execution
>>> idx = pd.Index([1, 2, 3, 4])
... idx.is_integer() True
This example is valid syntax, but we were not able to check execution
>>> idx = pd.Index([1.0, 2.0, 3.0, 4.0])
... idx.is_integer() False
This example is valid syntax, but we were not able to check execution
>>> idx = pd.Index(["Apple", "Mango", "Watermelon"])
... idx.is_integer() False
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.indexes.base.Index.is_floating pandas.core.indexes.base.Index.is_interval pandas.core.indexes.base.Index.is_mixed pandas.core.indexes.base.Index.is_categorical pandas.core.indexes.base.Index.is_object pandas.core.indexes.base.Index.is_boolean pandas.core.indexes.base.Index.is_numeric

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /pandas/core/indexes/base.py#2308
type: <class 'function'>
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