is_boolean(self) -> 'bool'
Whether or not the Index only consists of booleans.
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_integer
Check if the Index only consists of integers.
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.
>>> idx = pd.Index([True, False, True])This example is valid syntax, but we were not able to check execution
... idx.is_boolean() True
>>> idx = pd.Index(["True", "False", "True"])This example is valid syntax, but we were not able to check execution
... idx.is_boolean() False
>>> idx = pd.Index([True, False, "True"])See :
... idx.is_boolean() False
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_integer
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_numeric
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