diff --git a/src/dataframe.rs b/src/dataframe.rs
index 605e1161..fcce90d9 100644
--- a/src/dataframe.rs
+++ b/src/dataframe.rs
@@ -172,8 +172,7 @@ impl PyDataFrame {
     #[pyo3(signature = (num=20))]
     fn show(&self, py: Python, num: usize) -> PyResult<()> {
         let df = self.df.as_ref().clone().limit(0, Some(num))?;
-        let batches = wait_for_future(py, df.collect())?;
-        pretty::print_batches(&batches).map_err(|err| PyArrowException::new_err(err.to_string()))
+        print_dataframe(py, df)
     }
 
     /// Filter out duplicate rows
@@ -217,8 +216,7 @@ impl PyDataFrame {
     #[pyo3(signature = (verbose=false, analyze=false))]
     fn explain(&self, py: Python, verbose: bool, analyze: bool) -> PyResult<()> {
         let df = self.df.as_ref().clone().explain(verbose, analyze)?;
-        let batches = wait_for_future(py, df.collect())?;
-        pretty::print_batches(&batches).map_err(|err| PyArrowException::new_err(err.to_string()))
+        print_dataframe(py, df)
     }
 
     /// Get the logical plan for this `DataFrame`
@@ -389,3 +387,20 @@ impl PyDataFrame {
         Ok(wait_for_future(py, self.df.as_ref().clone().count())?)
     }
 }
+
+/// Print DataFrame
+fn print_dataframe(py: Python, df: DataFrame) -> PyResult<()> {
+    // Get string representation of record batches
+    let batches = wait_for_future(py, df.collect())?;
+    let batches_as_string = pretty::pretty_format_batches(&batches);
+    let result = match batches_as_string {
+        Ok(batch) => format!("DataFrame()\n{batch}"),
+        Err(err) => format!("Error: {:?}", err.to_string()),
+    };
+
+    // Import the Python 'builtins' module to access the print function
+    // Note that println! does not print to the Python debug console and is not visible in notebooks for instance
+    let print = py.import("builtins")?.getattr("print")?;
+    print.call1((result,))?;
+    Ok(())
+}