polars.SQLContext.register_globals#
- SQLContext.register_globals(n: int | None = None) Self [source]#
Register all frames (lazy or eager) found in the current globals scope.
Automatically maps variable names to table names.
- Parameters:
- n
Register only the most recent “n” frames.
See also
Examples
>>> df1 = pl.DataFrame({"a": [1, 2, 3], "b": ["x", None, "z"]}) >>> df2 = pl.DataFrame({"a": [2, 3, 4], "c": ["t", "w", "v"]})
Register frames directly from variables found in the current globals scope:
>>> ctx = pl.SQLContext(register_globals=True) >>> ctx.tables() ['df1', 'df2']
Query using the register variable/frame names
>>> ctx.execute( ... "SELECT a, b, c FROM df1 LEFT JOIN df2 USING (a) ORDER BY a DESC" ... ).collect() shape: (3, 3) ┌─────┬──────┬──────┐ │ a ┆ b ┆ c │ │ --- ┆ --- ┆ --- │ │ i64 ┆ str ┆ str │ ╞═════╪══════╪══════╡ │ 3 ┆ z ┆ w │ │ 2 ┆ null ┆ t │ │ 1 ┆ x ┆ null │ └─────┴──────┴──────┘