Python:Joining lists of uneven sizes without concatenate












1















I'm trying to merge two separate lists:



x=np.arange(-math.pi/2+0.03079992797, 0, 0.03079992797) and
y=np.arange(0.06159985595,math.pi/2, 0.03079992797)
normally I would just use z = np.concatenate((x,y),axis=0) however I have been instructed not to do so. Is there any other method in which these two lists may be merged?










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  • z = np.hstack((x, y))

    – SilverSlash
    Nov 27 '18 at 13:41











  • Thanks very much!

    – LOC12345
    Nov 27 '18 at 15:40
















1















I'm trying to merge two separate lists:



x=np.arange(-math.pi/2+0.03079992797, 0, 0.03079992797) and
y=np.arange(0.06159985595,math.pi/2, 0.03079992797)
normally I would just use z = np.concatenate((x,y),axis=0) however I have been instructed not to do so. Is there any other method in which these two lists may be merged?










share|improve this question























  • z = np.hstack((x, y))

    – SilverSlash
    Nov 27 '18 at 13:41











  • Thanks very much!

    – LOC12345
    Nov 27 '18 at 15:40














1












1








1








I'm trying to merge two separate lists:



x=np.arange(-math.pi/2+0.03079992797, 0, 0.03079992797) and
y=np.arange(0.06159985595,math.pi/2, 0.03079992797)
normally I would just use z = np.concatenate((x,y),axis=0) however I have been instructed not to do so. Is there any other method in which these two lists may be merged?










share|improve this question














I'm trying to merge two separate lists:



x=np.arange(-math.pi/2+0.03079992797, 0, 0.03079992797) and
y=np.arange(0.06159985595,math.pi/2, 0.03079992797)
normally I would just use z = np.concatenate((x,y),axis=0) however I have been instructed not to do so. Is there any other method in which these two lists may be merged?







python python-3.x jupyter-notebook






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asked Nov 27 '18 at 13:34









LOC12345LOC12345

144




144













  • z = np.hstack((x, y))

    – SilverSlash
    Nov 27 '18 at 13:41











  • Thanks very much!

    – LOC12345
    Nov 27 '18 at 15:40



















  • z = np.hstack((x, y))

    – SilverSlash
    Nov 27 '18 at 13:41











  • Thanks very much!

    – LOC12345
    Nov 27 '18 at 15:40

















z = np.hstack((x, y))

– SilverSlash
Nov 27 '18 at 13:41





z = np.hstack((x, y))

– SilverSlash
Nov 27 '18 at 13:41













Thanks very much!

– LOC12345
Nov 27 '18 at 15:40





Thanks very much!

– LOC12345
Nov 27 '18 at 15:40












1 Answer
1






active

oldest

votes


















0














You can just convert it to lists and append them:



z = array(list(x) + list(y))


or try to use list comprehension:



np.array([a for a in x] + [b for b in y])





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  • Thanks very much!

    – LOC12345
    Nov 27 '18 at 15:41











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0














You can just convert it to lists and append them:



z = array(list(x) + list(y))


or try to use list comprehension:



np.array([a for a in x] + [b for b in y])





share|improve this answer
























  • Thanks very much!

    – LOC12345
    Nov 27 '18 at 15:41
















0














You can just convert it to lists and append them:



z = array(list(x) + list(y))


or try to use list comprehension:



np.array([a for a in x] + [b for b in y])





share|improve this answer
























  • Thanks very much!

    – LOC12345
    Nov 27 '18 at 15:41














0












0








0







You can just convert it to lists and append them:



z = array(list(x) + list(y))


or try to use list comprehension:



np.array([a for a in x] + [b for b in y])





share|improve this answer













You can just convert it to lists and append them:



z = array(list(x) + list(y))


or try to use list comprehension:



np.array([a for a in x] + [b for b in y])






share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 27 '18 at 13:41









planetmakerplanetmaker

4,66421729




4,66421729













  • Thanks very much!

    – LOC12345
    Nov 27 '18 at 15:41



















  • Thanks very much!

    – LOC12345
    Nov 27 '18 at 15:41

















Thanks very much!

– LOC12345
Nov 27 '18 at 15:41





Thanks very much!

– LOC12345
Nov 27 '18 at 15:41




















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