This behaviour is explained in Python's documentation under "Language reference", topic 3.1 "Objects, values and types" (in 2.5.4):
"Some objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container's value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed." "Types affect almost all aspects of object behavior. Even the importance of object identity is affected in some sense: for immutable types, operations that compute new values may actually return a reference to any existing object with the same type and value, while for mutable objects this is not allowed. E.g., after "a = 1; b = 1", a and b may or may not refer to the same object with the value one, depending on the implementation, but after "c = []; d = []", c and d are guaranteed to refer to two different, unique, newly created empty lists. (Note that "c = d = []" assigns the same object to both c and d.) " The easiest way to create your val list is using a comprehension: val=[ [i,0] for i in range(1,5) ] Hope this helps, Denes.
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