alamb commented on issue #6747:
URL: https://github.com/apache/datafusion/issues/6747#issuecomment-2090266602
🤔 it seems like spark's API is like
> count("dt").over(w).alias("count")).show()
https://stackoverflow.com/questions/32769328/how-to-use-window-functions-in-pyspark-using-dataframes
So maybe for DataFusion it could look like
```rust
let w = Window::new()
.partition_by(col("id"))
.order_by(col("dt"));
let lag_expr = lag(col("array_col"))
.over(w)
```
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