np.percentile returns different median from np.median when inf is present
4
When inf values are present in an array, under certain conditions np.percentile can return NaN as the median, whereas np.median can return a finite value.
>>> import numpy as np
>>> np.percentile([np.inf, 5, 4], [10, 20, 30, 40, 50, 60, 70, 80, 90])
/Users/tom/miniconda3/envs/alldev/lib/python3.7/site-packages/numpy-1.16.0.dev0+45718fd-py3.7-macosx-10.7-x86_64.egg/numpy/lib/function_base.py:3947: RuntimeWarning: invalid value encountered in multiply
x2 = take(ap, indices_above, axis=axis) * weights_above
array([4.2, 4.4, 4.6, 4.8, nan, inf, inf, inf, inf])
>>> np.median([np.inf, 5, 4])
5.0
In this case, np.median is able to correctly return 5.0 as the median value, whereas np.percentile returns NaN for the 50th percentile.
python numpy nan median percentile
asked Dec 27 at 13:33
Himanshu Poddar
569118
add a comment |
4
When inf values are present in an array, under certain conditions np.percentile can return NaN as the median, whereas np.median can return a finite value.
>>> import numpy as np
>>> np.percentile([np.inf, 5, 4], [10, 20, 30, 40, 50, 60, 70, 80, 90])
/Users/tom/miniconda3/envs/alldev/lib/python3.7/site-packages/numpy-1.16.0.dev0+45718fd-py3.7-macosx-10.7-x86_64.egg/numpy/lib/function_base.py:3947: RuntimeWarning: invalid value encountered in multiply
x2 = take(ap, indices_above, axis=axis) * weights_above
array([4.2, 4.4, 4.6, 4.8, nan, inf, inf, inf, inf])
>>> np.median([np.inf, 5, 4])
5.0
In this case, np.median is able to correctly return 5.0 as the median value, whereas np.percentile returns NaN for the 50th percentile.
python numpy nan median percentile
asked Dec 27 at 13:33
Himanshu Poddar
569118
What's your question now?
– Kasrâmvd
Dec 27 at 14:41
Why is this happening?
– Himanshu Poddar
Dec 27 at 14:44
That's because the functionality of those functions are not the same, not even close. You should check the source codes.
– Kasrâmvd
Dec 27 at 15:00
ok thanks should I close this question??
– Himanshu Poddar
Dec 27 at 15:03
No, It's a good question. You can provide the answer after by yourself whenever you found it or my be someone else does that too.
– Kasrâmvd
Dec 27 at 15:07
add a comment |
4
4
4
When inf values are present in an array, under certain conditions np.percentile can return NaN as the median, whereas np.median can return a finite value.
>>> import numpy as np
>>> np.percentile([np.inf, 5, 4], [10, 20, 30, 40, 50, 60, 70, 80, 90])
/Users/tom/miniconda3/envs/alldev/lib/python3.7/site-packages/numpy-1.16.0.dev0+45718fd-py3.7-macosx-10.7-x86_64.egg/numpy/lib/function_base.py:3947: RuntimeWarning: invalid value encountered in multiply
x2 = take(ap, indices_above, axis=axis) * weights_above
array([4.2, 4.4, 4.6, 4.8, nan, inf, inf, inf, inf])
>>> np.median([np.inf, 5, 4])
5.0
In this case, np.median is able to correctly return 5.0 as the median value, whereas np.percentile returns NaN for the 50th percentile.
python numpy nan median percentile
asked Dec 27 at 13:33
Himanshu Poddar
569118
When inf values are present in an array, under certain conditions np.percentile can return NaN as the median, whereas np.median can return a finite value.
>>> import numpy as np
>>> np.percentile([np.inf, 5, 4], [10, 20, 30, 40, 50, 60, 70, 80, 90])
/Users/tom/miniconda3/envs/alldev/lib/python3.7/site-packages/numpy-1.16.0.dev0+45718fd-py3.7-macosx-10.7-x86_64.egg/numpy/lib/function_base.py:3947: RuntimeWarning: invalid value encountered in multiply
x2 = take(ap, indices_above, axis=axis) * weights_above
array([4.2, 4.4, 4.6, 4.8, nan, inf, inf, inf, inf])
>>> np.median([np.inf, 5, 4])
5.0
In this case, np.median is able to correctly return 5.0 as the median value, whereas np.percentile returns NaN for the 50th percentile.
python numpy nan median percentile
python numpy nan median percentile
asked Dec 27 at 13:33
Himanshu Poddar
569118
asked Dec 27 at 13:33
Himanshu Poddar
569118
asked Dec 27 at 13:33
Himanshu Poddar
569118
asked Dec 27 at 13:33
Himanshu Poddar
569118
asked Dec 27 at 13:33
Himanshu Poddar
569118
569118
What's your question now?
– Kasrâmvd
Dec 27 at 14:41
Why is this happening?
– Himanshu Poddar
Dec 27 at 14:44
That's because the functionality of those functions are not the same, not even close. You should check the source codes.
– Kasrâmvd
Dec 27 at 15:00
ok thanks should I close this question??
– Himanshu Poddar
Dec 27 at 15:03
No, It's a good question. You can provide the answer after by yourself whenever you found it or my be someone else does that too.
– Kasrâmvd
Dec 27 at 15:07
add a comment |
What's your question now?
– Kasrâmvd
Dec 27 at 14:41
Why is this happening?
– Himanshu Poddar
Dec 27 at 14:44
That's because the functionality of those functions are not the same, not even close. You should check the source codes.
– Kasrâmvd
Dec 27 at 15:00
ok thanks should I close this question??
– Himanshu Poddar
Dec 27 at 15:03
No, It's a good question. You can provide the answer after by yourself whenever you found it or my be someone else does that too.
– Kasrâmvd
Dec 27 at 15:07
What's your question now?
– Kasrâmvd
Dec 27 at 14:41
What's your question now?
– Kasrâmvd
Dec 27 at 14:41
Why is this happening?
– Himanshu Poddar
Dec 27 at 14:44
Why is this happening?
– Himanshu Poddar
Dec 27 at 14:44
That's because the functionality of those functions are not the same, not even close. You should check the source codes.
– Kasrâmvd
Dec 27 at 15:00
That's because the functionality of those functions are not the same, not even close. You should check the source codes.
– Kasrâmvd
Dec 27 at 15:00
ok thanks should I close this question??
– Himanshu Poddar
Dec 27 at 15:03
ok thanks should I close this question??
– Himanshu Poddar
Dec 27 at 15:03
No, It's a good question. You can provide the answer after by yourself whenever you found it or my be someone else does that too.
– Kasrâmvd
Dec 27 at 15:07
No, It's a good question. You can provide the answer after by yourself whenever you found it or my be someone else does that too.
– Kasrâmvd
Dec 27 at 15:07
add a comment |
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What's your question now?
– Kasrâmvd
Dec 27 at 14:41
Why is this happening?
– Himanshu Poddar
Dec 27 at 14:44
That's because the functionality of those functions are not the same, not even close. You should check the source codes.
– Kasrâmvd
Dec 27 at 15:00
ok thanks should I close this question??
– Himanshu Poddar
Dec 27 at 15:03
No, It's a good question. You can provide the answer after by yourself whenever you found it or my be someone else does that too.
– Kasrâmvd
Dec 27 at 15:07