polars.DataFrame.collect_schema#

DataFrame.collect_schema() → Schema[source]#

Get an ordered mapping of column names to their data type.

This is an alias for the schema property.

See also

schema

Notes

This method is included to facilitate writing code that is generic for both DataFrame and LazyFrame.

Examples

Determine the schema.

>>> df = pl.DataFrame(
...     {
...         "foo": [1, 2, 3],
...         "bar": [6.0, 7.0, 8.0],
...         "ham": ["a", "b", "c"],
...     }
... )
>>> df.collect_schema()
Schema({'foo': Int64, 'bar': Float64, 'ham': String})

Access various properties of the schema using the Schema object.

>>> schema = df.collect_schema()
>>> schema["bar"]
Float64
>>> schema.names()
['foo', 'bar', 'ham']
>>> schema.dtypes()
[Int64, Float64, String]
>>> schema.len()
3