Update polars to 0.33 (#10672)

# Description
Open question:

Undocumented behavior for the new argument `ambiguous` to the
`as_datetime`
methods. I cheated by passing a default (assuming empty string).
This appears like an API primarily serving the python impl:


https://pola-rs.github.io/polars/py-polars/html/reference/expressions/api/polars.Expr.str.to_datetime.html#polars-expr-str-to-datetime


# User-Facing Changes
Only dependent on breaking changes to the behavior of polars.

# Tests + Formatting
No observed changes to tests

Manually checked `dfr as-datetime`, doesn't seem to panic.

crates/nu-cmd-dataframe/Cargo.toml

@@ -24,7 +24,7 @@ indexmap = { version = "2.0" }
 num = { version = "0.4", optional = true }
 serde = { version = "1.0", features = ["derive"] }
 sqlparser = { version = "0.36.1", optional = true }
-polars-io = { version = "0.32", features = ["avro"], optional = true }
+polars-io = { version = "0.33", features = ["avro"], optional = true }
 
 [dependencies.polars]
 features = [
@@ -38,7 +38,7 @@ features = [
 	"dtype-categorical",
 	"dtype-datetime",
 	"dtype-struct",
-	"dynamic_groupby",
+	"dynamic_group_by",
 	"ipc",
 	"is_in",
 	"json",
@@ -54,7 +54,7 @@ features = [
 	"to_dummies",
 ]
 optional = true
-version = "0.32"
+version = "0.33"
 
 [features]
 dataframe = ["num", "polars", "polars-io", "sqlparser"]

crates/nu-cmd-dataframe/src/dataframe/eager/sql_context.rs

@@ -147,7 +147,7 @@ impl SQLContext {
                 .enumerate()
                 .map(|(agg_pj, (proj_p, expr))| (expr.clone(), (proj_p, agg_pj + group_by.len())))
                 .unzip();
-            let agg_df = df.groupby(group_by).agg(agg_projection);
+            let agg_df = df.group_by(group_by).agg(agg_projection);
             let mut final_proj_pos = groupby_pos
                 .into_iter()
                 .chain(agg_proj_pos)

crates/nu-cmd-dataframe/src/dataframe/lazy/groupby.rs

@@ -131,7 +131,7 @@ impl Command for ToLazyGroupBy {
         let group_by = NuLazyGroupBy {
             schema: lazy.schema.clone(),
             from_eager: lazy.from_eager,
-            group_by: Some(lazy.into_polars().groupby(&expressions)),
+            group_by: Some(lazy.into_polars().group_by(&expressions)),
         };
 
         Ok(PipelineData::Value(group_by.into_value(call.head), None))

crates/nu-cmd-dataframe/src/dataframe/series/date/as_datetime.rs

@@ -148,7 +148,7 @@ fn command(
             TimeUnit::Nanoseconds,
             false,
             None,
-            None,
+            &Default::default(),
         )
     } else {
         casted.as_datetime(
@@ -157,7 +157,7 @@ fn command(
             false,
             false,
             None,
-            None,
+            &Default::default(),
         )
     };
 

crates/nu-cmd-dataframe/src/dataframe/series/masks/is_in.rs

@@ -6,7 +6,7 @@ use nu_protocol::{
     engine::{Command, EngineState, Stack},
     Category, Example, PipelineData, ShellError, Signature, Span, SyntaxShape, Type, Value,
 };
-use polars::prelude::IntoSeries;
+use polars::prelude::{is_in, IntoSeries};
 
 #[derive(Clone)]
 pub struct IsIn;
@@ -71,16 +71,14 @@ fn command(
     call: &Call,
     input: PipelineData,
 ) -> Result<PipelineData, ShellError> {
-    let df = NuDataFrame::try_from_pipeline(input, call.head)?;
+    let df = NuDataFrame::try_from_pipeline(input, call.head)?.as_series(call.head)?;
 
     let other_value: Value = call.req(engine_state, stack, 0)?;
     let other_span = other_value.span();
     let other_df = NuDataFrame::try_from_value(other_value)?;
     let other = other_df.as_series(other_span)?;
 
-    let mut res = df
-        .as_series(call.head)?
-        .is_in(&other)
+    let mut res = is_in(&df, &other)
         .map_err(|e| {
             ShellError::GenericError(
                 "Error finding in other".into(),