DOC: pandas-dev#39904: Clarify DataFrame column argument in API documentation.

Author: DriesSchaumont

pandas/core/frame.py

@@ -472,8 +472,12 @@ class DataFrame(NDFrame, OpsMixin):
         Index to use for resulting frame. Will default to RangeIndex if
         no indexing information part of input data and no index provided.
     columns : Index or array-like
-        Column labels to use for resulting frame. Will default to
-        RangeIndex (0, 1, 2, ..., n) if no column labels are provided.
+        Columns to select from data or column labels to use for resulting frame.
+        Will use the provided labels for the column index if data does not 
+        include column labels, defaulting to RangeIndex(0, 1, 2, ..., n).
+        If data does include column labels, will select the columns from data matching
+        with the provided labels to include in the frame, defaulting to 
+        all columns.
     dtype : dtype, default None
         Data type to force. Only a single dtype is allowed. If None, infer.
     copy : bool, default False
@@ -522,6 +526,16 @@ class DataFrame(NDFrame, OpsMixin):
     0  1  2  3
     1  4  5  6
     2  7  8  9
+    
+    >>> d = np.array([(1, 2, 3), (4, 5, 6), (7, 8, 9)], 
+                      dtype=[("a", "i4"), ("b", "i4"), ("c", "i4")])
+    >>> df3 = pd.DataFrame(d, columns=['c', 'a'])
+    ...
+    >>> df3
+       c  a
+    0  3  1
+    1  6  4
+    2  9  7
 
     Constructing DataFrame from dataclass: