AlenkaF commented on code in PR #37656:
URL: https://github.com/apache/arrow/pull/37656#discussion_r1322707895


##########
python/pyarrow/array.pxi:
##########
@@ -2363,6 +2363,78 @@ cdef class MapArray(ListArray):
         Returns
         -------
         map_array : MapArray
+
+        Examples
+        --------
+        First, let's understand the structure of our dataset when viewed in a 
rectangular data model. 
+        The total of 5 respondents answered the question "How much did you 
like the movie x?".
+        The value -1 in the integer array means that the value is missing. The 
boolean array
+        represents the null bitmask corresponding to the missing values in the 
integer array.
+
+        >>> movies_rectangular = np.ma.masked_array([
+        >>>     [10, -1, -1],
+        >>>     [8, 4, 5],
+        >>>     [-1, 10, 3],
+        >>>     [-1, -1, -1],
+        >>>     [-1, -1, -1]
+        >>> ],
+        >>> [
+        >>>     [False, True, True],
+        >>>     [False, False, False],
+        >>>     [True, False, False],
+        >>>     [True, True, True],
+        >>>     [True, True, True],
+        >>> ])

Review Comment:
   ```suggestion
           ...     [10, -1, -1],
           ...     [8, 4, 5],
           ...     [-1, 10, 3],
           ...     [-1, -1, -1],
           ...     [-1, -1, -1]
           ... ],
           ... [
           ...     [False, True, True],
           ...     [False, False, False],
           ...     [True, False, False],
           ...     [True, True, True],
           ...     [True, True, True],
           ... ])
   ```
   
   I think this should fix the failing build due to docstest error. SImilar 
should be done bellow (when the code breaks into multiple lines, `...` should 
be used instead of `>>>`.



##########
python/pyarrow/array.pxi:
##########
@@ -2363,6 +2363,78 @@ cdef class MapArray(ListArray):
         Returns
         -------
         map_array : MapArray
+
+        Examples
+        --------
+        First, let's understand the structure of our dataset when viewed in a 
rectangular data model. 
+        The total of 5 respondents answered the question "How much did you 
like the movie x?".
+        The value -1 in the integer array means that the value is missing. The 
boolean array
+        represents the null bitmask corresponding to the missing values in the 
integer array.
+
+        >>> movies_rectangular = np.ma.masked_array([
+        >>>     [10, -1, -1],
+        >>>     [8, 4, 5],
+        >>>     [-1, 10, 3],
+        >>>     [-1, -1, -1],
+        >>>     [-1, -1, -1]
+        >>> ],
+        >>> [
+        >>>     [False, True, True],
+        >>>     [False, False, False],
+        >>>     [True, False, False],
+        >>>     [True, True, True],
+        >>>     [True, True, True],
+        >>> ])
+
+        To represent the same data with the MapArray and from_arrays, the data 
is
+        formed like this:
+
+        >>> offsets = [
+        >>>     0, #  -- row 1 start
+        >>>     1, #  -- row 2 start
+        >>>     4, #  -- row 3 start
+        >>>     6, #  -- row 4 start
+        >>>     6, #  -- row 5 start
+        >>>     6, #  -- row 5 end
+        >>> ]
+        >>> movies = [
+        >>>     "Dark Knight", #  ---------------------------------- row 1
+        >>>     "Dark Knight", "Meet the Parents", "Superman", #  -- row 2
+        >>>     "Meet the Parents", "Superman", #  ----------------- row 3

Review Comment:
   I totally agree it makes the example much better when using real movie 
names. But on the other hand I have no experience with trademark law and if the 
names shouldn't be used in an example like this? I would suspect this shouldn't 
be an issue, but again, I am sure I can be surprised =)



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