Python equivalent of R's c()?












-3














This question has already been asked here: Python equivalent of R c() function, but unfortunately the solution given doesn't exactly apply to me.



For instance, if I combine values, into a vector or list, in R like so:



x = c(2,3,6,8)


I can preform calculations on that list, for example:



x*2
Output:
4 6 12 16


However, I'm not sure how to achieve the same thing in Python. The previously asked question (in the link above) deals with a list of numbers in a particular range. for example,



x = list(range(1:10))


I am wondering, how do I define a list of numbers (not in a range) in Python?










share|improve this question


















  • 2




    If you're using numpy, then you just do x = np.array([2, 3, 6, 8]) then x * 2 ? eg - you actually give it a list of numbers...
    – Jon Clements
    Nov 12 '18 at 16:44












  • (1) That does define a list -- it just creates it from a range; (2) if you want elementwise operations on vectors/matrices/n-dim arrays, use numpy.
    – Linuxios
    Nov 12 '18 at 16:45










  • np.array did the job for me. Thanks for your help
    – Electrino
    Nov 12 '18 at 16:52










  • duplicate of stackoverflow.com/questions/32443778/…
    – Jean-François Fabre
    Nov 12 '18 at 19:47
















-3














This question has already been asked here: Python equivalent of R c() function, but unfortunately the solution given doesn't exactly apply to me.



For instance, if I combine values, into a vector or list, in R like so:



x = c(2,3,6,8)


I can preform calculations on that list, for example:



x*2
Output:
4 6 12 16


However, I'm not sure how to achieve the same thing in Python. The previously asked question (in the link above) deals with a list of numbers in a particular range. for example,



x = list(range(1:10))


I am wondering, how do I define a list of numbers (not in a range) in Python?










share|improve this question


















  • 2




    If you're using numpy, then you just do x = np.array([2, 3, 6, 8]) then x * 2 ? eg - you actually give it a list of numbers...
    – Jon Clements
    Nov 12 '18 at 16:44












  • (1) That does define a list -- it just creates it from a range; (2) if you want elementwise operations on vectors/matrices/n-dim arrays, use numpy.
    – Linuxios
    Nov 12 '18 at 16:45










  • np.array did the job for me. Thanks for your help
    – Electrino
    Nov 12 '18 at 16:52










  • duplicate of stackoverflow.com/questions/32443778/…
    – Jean-François Fabre
    Nov 12 '18 at 19:47














-3












-3








-3







This question has already been asked here: Python equivalent of R c() function, but unfortunately the solution given doesn't exactly apply to me.



For instance, if I combine values, into a vector or list, in R like so:



x = c(2,3,6,8)


I can preform calculations on that list, for example:



x*2
Output:
4 6 12 16


However, I'm not sure how to achieve the same thing in Python. The previously asked question (in the link above) deals with a list of numbers in a particular range. for example,



x = list(range(1:10))


I am wondering, how do I define a list of numbers (not in a range) in Python?










share|improve this question













This question has already been asked here: Python equivalent of R c() function, but unfortunately the solution given doesn't exactly apply to me.



For instance, if I combine values, into a vector or list, in R like so:



x = c(2,3,6,8)


I can preform calculations on that list, for example:



x*2
Output:
4 6 12 16


However, I'm not sure how to achieve the same thing in Python. The previously asked question (in the link above) deals with a list of numbers in a particular range. for example,



x = list(range(1:10))


I am wondering, how do I define a list of numbers (not in a range) in Python?







python






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 12 '18 at 16:43









Electrino

591312




591312








  • 2




    If you're using numpy, then you just do x = np.array([2, 3, 6, 8]) then x * 2 ? eg - you actually give it a list of numbers...
    – Jon Clements
    Nov 12 '18 at 16:44












  • (1) That does define a list -- it just creates it from a range; (2) if you want elementwise operations on vectors/matrices/n-dim arrays, use numpy.
    – Linuxios
    Nov 12 '18 at 16:45










  • np.array did the job for me. Thanks for your help
    – Electrino
    Nov 12 '18 at 16:52










  • duplicate of stackoverflow.com/questions/32443778/…
    – Jean-François Fabre
    Nov 12 '18 at 19:47














  • 2




    If you're using numpy, then you just do x = np.array([2, 3, 6, 8]) then x * 2 ? eg - you actually give it a list of numbers...
    – Jon Clements
    Nov 12 '18 at 16:44












  • (1) That does define a list -- it just creates it from a range; (2) if you want elementwise operations on vectors/matrices/n-dim arrays, use numpy.
    – Linuxios
    Nov 12 '18 at 16:45










  • np.array did the job for me. Thanks for your help
    – Electrino
    Nov 12 '18 at 16:52










  • duplicate of stackoverflow.com/questions/32443778/…
    – Jean-François Fabre
    Nov 12 '18 at 19:47








2




2




If you're using numpy, then you just do x = np.array([2, 3, 6, 8]) then x * 2 ? eg - you actually give it a list of numbers...
– Jon Clements
Nov 12 '18 at 16:44






If you're using numpy, then you just do x = np.array([2, 3, 6, 8]) then x * 2 ? eg - you actually give it a list of numbers...
– Jon Clements
Nov 12 '18 at 16:44














(1) That does define a list -- it just creates it from a range; (2) if you want elementwise operations on vectors/matrices/n-dim arrays, use numpy.
– Linuxios
Nov 12 '18 at 16:45




(1) That does define a list -- it just creates it from a range; (2) if you want elementwise operations on vectors/matrices/n-dim arrays, use numpy.
– Linuxios
Nov 12 '18 at 16:45












np.array did the job for me. Thanks for your help
– Electrino
Nov 12 '18 at 16:52




np.array did the job for me. Thanks for your help
– Electrino
Nov 12 '18 at 16:52












duplicate of stackoverflow.com/questions/32443778/…
– Jean-François Fabre
Nov 12 '18 at 19:47




duplicate of stackoverflow.com/questions/32443778/…
– Jean-François Fabre
Nov 12 '18 at 19:47












1 Answer
1






active

oldest

votes


















-2














in python, you could use numpy arrays to do such things



import numpy
x = numpy.array([2, 3, 7])
y = x*2


and y will be equal to numpy.array([4, 6, 14])






share|improve this answer























  • I'm afraid not, that would produce: [2, 3, 7, 2, 3, 7]
    – LeKhan9
    Nov 12 '18 at 16:47










  • Python does that for a different purpose.
    – Austin
    Nov 12 '18 at 16:49










  • Thats my bad, I was thinking of numpy arrays, which should have just been my original answer...
    – evinoshea
    Nov 12 '18 at 17:31











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









-2














in python, you could use numpy arrays to do such things



import numpy
x = numpy.array([2, 3, 7])
y = x*2


and y will be equal to numpy.array([4, 6, 14])






share|improve this answer























  • I'm afraid not, that would produce: [2, 3, 7, 2, 3, 7]
    – LeKhan9
    Nov 12 '18 at 16:47










  • Python does that for a different purpose.
    – Austin
    Nov 12 '18 at 16:49










  • Thats my bad, I was thinking of numpy arrays, which should have just been my original answer...
    – evinoshea
    Nov 12 '18 at 17:31
















-2














in python, you could use numpy arrays to do such things



import numpy
x = numpy.array([2, 3, 7])
y = x*2


and y will be equal to numpy.array([4, 6, 14])






share|improve this answer























  • I'm afraid not, that would produce: [2, 3, 7, 2, 3, 7]
    – LeKhan9
    Nov 12 '18 at 16:47










  • Python does that for a different purpose.
    – Austin
    Nov 12 '18 at 16:49










  • Thats my bad, I was thinking of numpy arrays, which should have just been my original answer...
    – evinoshea
    Nov 12 '18 at 17:31














-2












-2








-2






in python, you could use numpy arrays to do such things



import numpy
x = numpy.array([2, 3, 7])
y = x*2


and y will be equal to numpy.array([4, 6, 14])






share|improve this answer














in python, you could use numpy arrays to do such things



import numpy
x = numpy.array([2, 3, 7])
y = x*2


and y will be equal to numpy.array([4, 6, 14])







share|improve this answer














share|improve this answer



share|improve this answer








edited Nov 12 '18 at 17:30

























answered Nov 12 '18 at 16:46









evinoshea

224




224












  • I'm afraid not, that would produce: [2, 3, 7, 2, 3, 7]
    – LeKhan9
    Nov 12 '18 at 16:47










  • Python does that for a different purpose.
    – Austin
    Nov 12 '18 at 16:49










  • Thats my bad, I was thinking of numpy arrays, which should have just been my original answer...
    – evinoshea
    Nov 12 '18 at 17:31


















  • I'm afraid not, that would produce: [2, 3, 7, 2, 3, 7]
    – LeKhan9
    Nov 12 '18 at 16:47










  • Python does that for a different purpose.
    – Austin
    Nov 12 '18 at 16:49










  • Thats my bad, I was thinking of numpy arrays, which should have just been my original answer...
    – evinoshea
    Nov 12 '18 at 17:31
















I'm afraid not, that would produce: [2, 3, 7, 2, 3, 7]
– LeKhan9
Nov 12 '18 at 16:47




I'm afraid not, that would produce: [2, 3, 7, 2, 3, 7]
– LeKhan9
Nov 12 '18 at 16:47












Python does that for a different purpose.
– Austin
Nov 12 '18 at 16:49




Python does that for a different purpose.
– Austin
Nov 12 '18 at 16:49












Thats my bad, I was thinking of numpy arrays, which should have just been my original answer...
– evinoshea
Nov 12 '18 at 17:31




Thats my bad, I was thinking of numpy arrays, which should have just been my original answer...
– evinoshea
Nov 12 '18 at 17:31


















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