Mixing
How to subtract specific rows of 2 separate files with different increments
https://i.stack.imgur.com/oYoYz.png
https://i.stack.imgur.com/AdmuM.png
The first column in the images linked above is the wavelength, while the second is the flux. I need to subtract the values of the flux from the same wavelengths. Is there a way to ignore the other wavelength values and only subtract the fluxes that have the same wavelengths?
python matplotlib
asked Nov 19 '18 at 19:29
AlecAlec
63
add a comment |
https://i.stack.imgur.com/oYoYz.png
https://i.stack.imgur.com/AdmuM.png
The first column in the images linked above is the wavelength, while the second is the flux. I need to subtract the values of the flux from the same wavelengths. Is there a way to ignore the other wavelength values and only subtract the fluxes that have the same wavelengths?
python matplotlib
asked Nov 19 '18 at 19:29
AlecAlec
63
add a comment |
https://i.stack.imgur.com/oYoYz.png
https://i.stack.imgur.com/AdmuM.png
The first column in the images linked above is the wavelength, while the second is the flux. I need to subtract the values of the flux from the same wavelengths. Is there a way to ignore the other wavelength values and only subtract the fluxes that have the same wavelengths?
python matplotlib
asked Nov 19 '18 at 19:29
AlecAlec
63
https://i.stack.imgur.com/oYoYz.png
https://i.stack.imgur.com/AdmuM.png
The first column in the images linked above is the wavelength, while the second is the flux. I need to subtract the values of the flux from the same wavelengths. Is there a way to ignore the other wavelength values and only subtract the fluxes that have the same wavelengths?
python matplotlib
python matplotlib
asked Nov 19 '18 at 19:29
AlecAlec
63
asked Nov 19 '18 at 19:29
AlecAlec
63
asked Nov 19 '18 at 19:29
AlecAlec
63
asked Nov 19 '18 at 19:29
AlecAlec
63
asked Nov 19 '18 at 19:29
AlecAlec
63
63
add a comment |
add a comment |
1 Answer
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Please consider the following example
import numpy
a = numpy.array([51, -2, -16, 38, 27])
b = numpy.array([-16, 51, 38])
print([numpy.where(b[x] == a)[0][0] for x in range(len(b))])
# [2, 0, 3]
The indices corresponding to the values of b in a are returned. This only works if all values of b are contained into a. For your example, that is the case, b being the first column of your second picture and a the first column of your first picture. Having the indices, you can then easily subtract flux values at the same wavelength.
answered Nov 20 '18 at 3:12
Patol75Patol75
6236
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Please consider the following example
import numpy
a = numpy.array([51, -2, -16, 38, 27])
b = numpy.array([-16, 51, 38])
print([numpy.where(b[x] == a)[0][0] for x in range(len(b))])
# [2, 0, 3]
The indices corresponding to the values of b in a are returned. This only works if all values of b are contained into a. For your example, that is the case, b being the first column of your second picture and a the first column of your first picture. Having the indices, you can then easily subtract flux values at the same wavelength.
answered Nov 20 '18 at 3:12
Patol75Patol75
6236
add a comment |
Please consider the following example
import numpy
a = numpy.array([51, -2, -16, 38, 27])
b = numpy.array([-16, 51, 38])
print([numpy.where(b[x] == a)[0][0] for x in range(len(b))])
# [2, 0, 3]
The indices corresponding to the values of b in a are returned. This only works if all values of b are contained into a. For your example, that is the case, b being the first column of your second picture and a the first column of your first picture. Having the indices, you can then easily subtract flux values at the same wavelength.
answered Nov 20 '18 at 3:12
Patol75Patol75
6236
add a comment |
Please consider the following example
import numpy
a = numpy.array([51, -2, -16, 38, 27])
b = numpy.array([-16, 51, 38])
print([numpy.where(b[x] == a)[0][0] for x in range(len(b))])
# [2, 0, 3]
The indices corresponding to the values of b in a are returned. This only works if all values of b are contained into a. For your example, that is the case, b being the first column of your second picture and a the first column of your first picture. Having the indices, you can then easily subtract flux values at the same wavelength.
answered Nov 20 '18 at 3:12
Patol75Patol75
6236
Please consider the following example
import numpy
a = numpy.array([51, -2, -16, 38, 27])
b = numpy.array([-16, 51, 38])
print([numpy.where(b[x] == a)[0][0] for x in range(len(b))])
# [2, 0, 3]
The indices corresponding to the values of b in a are returned. This only works if all values of b are contained into a. For your example, that is the case, b being the first column of your second picture and a the first column of your first picture. Having the indices, you can then easily subtract flux values at the same wavelength.
answered Nov 20 '18 at 3:12
Patol75Patol75
6236
answered Nov 20 '18 at 3:12
Patol75Patol75
6236
answered Nov 20 '18 at 3:12
Patol75Patol75
6236
answered Nov 20 '18 at 3:12
Patol75Patol75
6236
6236
add a comment |
add a comment |
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