diff --git a/nonos/api/analysis.py b/nonos/api/analysis.py
index b80b2211..13875464 100644
--- a/nonos/api/analysis.py
+++ b/nonos/api/analysis.py
@@ -1,6 +1,7 @@
 import dataclasses
 import json
 import warnings
+from collections import deque
 from collections.abc import ItemsView, KeysView, ValuesView
 from functools import cached_property
 from pathlib import Path
@@ -543,15 +544,11 @@ def map(
             else:
                 data_view = self.data.view()
 
-            datamoved_tmp = np.moveaxis(data_view, self.shape.index(1), 0)
-            datamoved = np.moveaxis(
-                datamoved_tmp[0], datamoved_tmp[0].shape.index(1), 0
-            )
             dict_plotable = {
                 "abscissa": abscissa_key,
                 "field": data_key,
                 abscissa_key: abscissa_value,
-                data_key: datamoved[0],
+                data_key: data_view.squeeze(),
             }
         elif dimension == 2:
             # meshgrid in polar coordinates P, R (if "R", "phi") or R, P (if "phi", "R")
@@ -583,21 +580,18 @@ def map(
             else:
                 data_view = self.data.view()
 
-            ordered = meshgrid_conversion["ordered"]
-            # move the axis of reduction in the front in order to
-            # perform the operation 3D(i,j,1) -> 2D(i,j) in a general way,
-            # whatever the position of (i,j,1)
-            # for that we must be careful to change the order ("ordered") if the data is reversed
-            # in practice, this is tricky only if the "1" is in the middle:
-            # 3D(i,1,k) -> 2D(i,k) is not a direct triedre anymore, we need to do 2D(i,k).T = 2D(k,i)
-            position_of_3d_dimension = self.shape.index(1)
-            datamoved = np.moveaxis(data_view, position_of_3d_dimension, 0)
-            if position_of_3d_dimension == 1:
-                ordered = not ordered
-            if ordered:
-                data_value = datamoved[0].T
-            else:
-                data_value = datamoved[0]
+            def rotate_axes(arr, shift: int):
+                axes_in = tuple(range(arr.ndim))
+                axes_out = deque(axes_in)
+                axes_out.rotate(shift)
+                return np.moveaxis(arr, axes_in, axes_out)
+
+            # make reduction axis the first axis then drop (squeeze) it,
+            # while preserving the original (cyclic) order in the other two axes
+            data_view = rotate_axes(data_view, shift=self.shape.index(1)).squeeze()
+
+            if meshgrid_conversion["ordered"]:
+                data_view = data_view.T
 
             dict_plotable = {
                 "abscissa": abscissa_key,
@@ -605,7 +599,7 @@ def map(
                 "field": data_key,
                 abscissa_key: abscissa_value,
                 ordinate_key: ordinate_value,
-                data_key: data_value,
+                data_key: data_view,
             }
         else:
             raise RuntimeError