pandera.schemas.DataFrameSchema.add_columns#

DataFrameSchema.add_columns(extra_schema_cols)[source]#

Create a copy of the DataFrameSchema with extra columns.

Parameters: extra_schema_cols (DataFrameSchema) – Additional columns of the format
Return type: ForwardRef
Returns: a new DataFrameSchema with the extra_schema_cols added.
Example

To add columns to the schema, pass a dictionary with column name and Column instance key-value pairs.

>>> import pandera as pa
>>>
>>> example_schema = pa.DataFrameSchema(
...    {
...        "category": pa.Column(str),
...        "probability": pa.Column(float),
...    }
... )
>>> print(
...     example_schema.add_columns({"even_number": pa.Column(pa.Bool)})
... )
<Schema DataFrameSchema(
    columns={
        'category': <Schema Column(name=category, type=DataType(str))>
        'probability': <Schema Column(name=probability, type=DataType(float64))>
        'even_number': <Schema Column(name=even_number, type=DataType(bool))>
    },
    checks=[],
    coerce=False,
    dtype=None,
    index=None,
    strict=False
    name=None,
    ordered=False,
    unique_column_names=False
)>