Array methods

All arrays (should) have the following methods:

• constructor via the direct and most complete internal representation
• classmethod constructors from different sets of information
  • fromiter
• copy, deepcopy with the same overloads as the constructor
• empty_like, zeros_like, ones_like with overrides passed to copy
• read/write properties for all representations
• type for the awkward Type
• __len__, shape for the Numpy shape
• dtype for the nearest Numpy approximation (used by __array__ when that's enabled)
• base for resolving views
• _valid for any checks before an access
• _argfields for checking arguments in a higher-order function
• __iter__ for iteration (optimization over __getitem__)
• __getitem__
  • string-slice pass-through to Table
  • empty tuple returns self
  • non-tuples promoted to tuples, with head...
  • integer index returns an item
  • slice returns an array of the same type
  • mask array returns an array of the same type
  • index array returns an array of the same type
  • with tail passed through
• __setitem__ pass-through to Table
• __array_ufunc__ handles Numpy ufuncs
• any, all, count_nonzero, sum, prod, min, max reduce
• argmin, argmax pseudo-reduce
• concat (classmethod) concatenates
• zip (classmethod) builds a Table
• columns, allcolumns pass-through to Table
• pandas makes a DataFrame