andygrove commented on a change in pull request #942:
URL: https://github.com/apache/arrow-datafusion/pull/942#discussion_r697431047



##########
File path: python/src/dataframe.rs
##########
@@ -139,6 +140,30 @@ impl DataFrame {
         to_py::to_py(&batches)
     }
 
+    /// Print the result, 20 lines by default
+    #[args(num = "20")]
+    fn show(&self, py: Python, num: usize) -> PyResult<()> {
+        let ctx = _ExecutionContext::from(self.ctx_state.clone());
+        let plan = ctx
+            .optimize(&self.limit(num)?.plan)
+            .map_err(|e| -> errors::DataFusionError { e.into() })?;
+        let plan = ctx
+            .create_physical_plan(&plan)
+            .map_err(|e| -> errors::DataFusionError { e.into() })?;

Review comment:
       You can chain these together to reduce the error handling code.
   
   ```suggestion
           let plan = ctx
               .optimize(&self.limit(num)?.plan)
               .and_then(|plan| ctx.create_physical_plan(&plan))
               .map_err(|e| -> errors::DataFusionError { e.into() })?;
   ```




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