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Removed historical information (that is what the revision history is for) - the answer should be as if it was written right now.
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Peter Mortensen
Peter Mortensen
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One can also use NumPy's flat:

import numpy as np list(np.array(l).flat)

Edit 11/02/2016: OnlyIt only works when sublists have identical dimensions.

One can also use NumPy's flat:

import numpy as np list(np.array(l).flat)

Edit 11/02/2016: Only works when sublists have identical dimensions.

One can also use NumPy's flat:

import numpy as np list(np.array(l).flat)

It only works when sublists have identical dimensions.

added 72 characters in body
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mdh
mdh
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One can also use NumPy's flat:

import numpy as np list(np.array(l).flat)

Edit 11/02/2016: Only works when sublists have identical dimensions.

One can also use NumPy's flat:

import numpy as np list(np.array(l).flat)

One can also use NumPy's flat:

import numpy as np list(np.array(l).flat)

Edit 11/02/2016: Only works when sublists have identical dimensions.

deleted 53 characters in body
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mdh
mdh
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One can also use NumPy's flat:

import numpy as np list(np.array(l).flat)

Performance:

import timeit timeit.Timer( 'import numpy as np; list(np.array(l).flat)', 'l=[[1, 2, 3], [4, 5, 6, 7, 8], [1, 2, 3, 4, 5, 6, 7]] * 10000' ).timeit(100)

0.31461596488952637

One can also use NumPy's flat:

import numpy as np list(np.array(l).flat)

Performance:

import timeit timeit.Timer( 'import numpy as np; list(np.array(l).flat)', 'l=[[1, 2, 3], [4, 5, 6, 7, 8], [1, 2, 3, 4, 5, 6, 7]] * 10000' ).timeit(100)

0.31461596488952637

One can also use NumPy's flat:

import numpy as np list(np.array(l).flat)
added performance test
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mdh
mdh
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Source Link
mdh
mdh
  • 5.6k
  • 5
  • 32
  • 33