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To create a multidimensional numpy array filled with zeros, we can pass a sequence of integers as the argument in zeros() function. For example, to create a 2D numpy array or matrix of 4 rows and 5 columns filled with zeros, pass (4, 5) as argument in the zeros function.
To create a deep copy of an array in Python, use the array. copy() method. The array. copy() method does not take any argument because it is called on the original array and returns the deep copied array.
buckets = [0] * 100
Careful - this technique doesn't generalize to multidimensional arrays or lists of lists. Which leads to the List of lists changes reflected across sublists unexpectedly problem
Just for completeness: To declare a multidimensional list of zeros in python you have to use a list comprehension like this:
buckets = [[0 for col in range(5)] for row in range(10)]
to avoid reference sharing between the rows.
This looks more clumsy than chester1000's code, but is essential if the values are supposed to be changed later. See the Python FAQ for more details.
You can multiply a list by an integer n to repeat the list n times:
buckets = [0] * 100
Use this:
bucket = [None] * 100
for i in range(100):
bucket[i] = [None] * 100
OR
w, h = 100, 100
bucket = [[None] * w for i in range(h)]
Both of them will output proper empty multidimensional bucket list 100x100
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