pandera.api.pandas.components.MultiIndex#

class pandera.api.pandas.components.MultiIndex(indexes, coerce=False, strict=False, name=None, ordered=True, unique=None)[source]#

Validate types and properties of a DataFrame MultiIndex.

This class inherits from DataFrameSchema to leverage its validation logic.

Create MultiIndex validator.

Parameters
  • indexes (List[Index]) – list of Index validators for each level of the MultiIndex index.

  • coerce (bool) – Whether or not to coerce the MultiIndex to the specified dtypes before validation

  • strict (bool) – whether or not to accept columns in the MultiIndex that aren’t defined in the indexes argument.

  • name (Optional[str]) – name of schema component

  • ordered (bool) – whether or not to validate the indexes order.

  • unique (Union[str, List[str], None]) – a list of index names that should be jointly unique.

Example

>>> import pandas as pd
>>> import pandera as pa
>>>
>>>
>>> schema = pa.DataFrameSchema(
...     columns={"column": pa.Column(int)},
...     index=pa.MultiIndex([
...         pa.Index(str,
...               pa.Check(lambda s: s.isin(["foo", "bar"])),
...               name="index0"),
...         pa.Index(int, name="index1"),
...     ])
... )
>>>
>>> df = pd.DataFrame(
...     data={"column": [1, 2, 3]},
...     index=pd.MultiIndex.from_arrays(
...         [["foo", "bar", "foo"], [0, 1, 2]],
...         names=["index0", "index1"],
...     )
... )
>>>
>>> schema.validate(df)
               column
index0 index1
foo    0            1
bar    1            2
foo    2            3

See here for more usage details.

Attributes

BACKEND_REGISTRY

coerce

Whether or not to coerce data types.

dtype

Get the dtype property.

dtypes

A dict where the keys are column names and values are DataType s for the column.

names

Get index names in the MultiIndex schema component.

properties

Get the properties of the schema for serialization purposes.

unique

List of columns that should be jointly unique.

Methods

__init__

Create MultiIndex validator.

example

Generate an example of a particular size.

strategy

Create a hypothesis strategy for generating a DataFrame.

validate

Validate DataFrame or Series MultiIndex.

__call__

Alias for DataFrameSchema.validate() method.