How to correctly plot this set of data
0
I have a data set consisting of measures of the gamma ray spectra from a single source taken at different times. I plot the data in Python and it looks like this:
Plot
My question is How to correctly plot this data in Python so it looks more presentable? I mean if it is possible to "separate" the graphics more to be able to distinguish them better. Thanks.
python matplotlib plot
asked Nov 14 '18 at 0:59
IEDC PHYIEDC PHY
11
add a comment |
0
I have a data set consisting of measures of the gamma ray spectra from a single source taken at different times. I plot the data in Python and it looks like this:
Plot
My question is How to correctly plot this data in Python so it looks more presentable? I mean if it is possible to "separate" the graphics more to be able to distinguish them better. Thanks.
python matplotlib plot
asked Nov 14 '18 at 0:59
IEDC PHYIEDC PHY
11
1
Welcome to StackOverflow! Please provide a Minimal, Complete, and Verifiable example of what you've tried so far so we can reproduce your issue.
– Joseph Cho
Nov 14 '18 at 1:33
There's no definitive presentation for data - it just depends on what you want to emphasize. A common thing to do is just add an offset to the curves, say, add 0 to the 1st, 4000 to the 2nd, 8000 to the 3rd, and so on. Personally, though, I like the figure as is, because although it looks a bit messy, it's easy to compare the curves, yet all the curves are distinguishable. For example, if they weren't on top of each other, it would be hard to answer a question like, "Does the curve with the largest first peak have the largest second peak?"
– tom10
Nov 14 '18 at 3:41
add a comment |
0
0
0
I have a data set consisting of measures of the gamma ray spectra from a single source taken at different times. I plot the data in Python and it looks like this:
Plot
My question is How to correctly plot this data in Python so it looks more presentable? I mean if it is possible to "separate" the graphics more to be able to distinguish them better. Thanks.
python matplotlib plot
asked Nov 14 '18 at 0:59
IEDC PHYIEDC PHY
11
I have a data set consisting of measures of the gamma ray spectra from a single source taken at different times. I plot the data in Python and it looks like this:
Plot
My question is How to correctly plot this data in Python so it looks more presentable? I mean if it is possible to "separate" the graphics more to be able to distinguish them better. Thanks.
python matplotlib plot
python matplotlib plot
asked Nov 14 '18 at 0:59
IEDC PHYIEDC PHY
11
asked Nov 14 '18 at 0:59
IEDC PHYIEDC PHY
11
asked Nov 14 '18 at 0:59
IEDC PHYIEDC PHY
11
asked Nov 14 '18 at 0:59
IEDC PHYIEDC PHY
11
asked Nov 14 '18 at 0:59
IEDC PHYIEDC PHY
11
11
1
Welcome to StackOverflow! Please provide a Minimal, Complete, and Verifiable example of what you've tried so far so we can reproduce your issue.
– Joseph Cho
Nov 14 '18 at 1:33
There's no definitive presentation for data - it just depends on what you want to emphasize. A common thing to do is just add an offset to the curves, say, add 0 to the 1st, 4000 to the 2nd, 8000 to the 3rd, and so on. Personally, though, I like the figure as is, because although it looks a bit messy, it's easy to compare the curves, yet all the curves are distinguishable. For example, if they weren't on top of each other, it would be hard to answer a question like, "Does the curve with the largest first peak have the largest second peak?"
– tom10
Nov 14 '18 at 3:41
add a comment |
1
Welcome to StackOverflow! Please provide a Minimal, Complete, and Verifiable example of what you've tried so far so we can reproduce your issue.
– Joseph Cho
Nov 14 '18 at 1:33
There's no definitive presentation for data - it just depends on what you want to emphasize. A common thing to do is just add an offset to the curves, say, add 0 to the 1st, 4000 to the 2nd, 8000 to the 3rd, and so on. Personally, though, I like the figure as is, because although it looks a bit messy, it's easy to compare the curves, yet all the curves are distinguishable. For example, if they weren't on top of each other, it would be hard to answer a question like, "Does the curve with the largest first peak have the largest second peak?"
– tom10
Nov 14 '18 at 3:41
1
1
Welcome to StackOverflow! Please provide a Minimal, Complete, and Verifiable example of what you've tried so far so we can reproduce your issue.
– Joseph Cho
Nov 14 '18 at 1:33
Welcome to StackOverflow! Please provide a Minimal, Complete, and Verifiable example of what you've tried so far so we can reproduce your issue.
– Joseph Cho
Nov 14 '18 at 1:33
There's no definitive presentation for data - it just depends on what you want to emphasize. A common thing to do is just add an offset to the curves, say, add 0 to the 1st, 4000 to the 2nd, 8000 to the 3rd, and so on. Personally, though, I like the figure as is, because although it looks a bit messy, it's easy to compare the curves, yet all the curves are distinguishable. For example, if they weren't on top of each other, it would be hard to answer a question like, "Does the curve with the largest first peak have the largest second peak?"
– tom10
Nov 14 '18 at 3:41
There's no definitive presentation for data - it just depends on what you want to emphasize. A common thing to do is just add an offset to the curves, say, add 0 to the 1st, 4000 to the 2nd, 8000 to the 3rd, and so on. Personally, though, I like the figure as is, because although it looks a bit messy, it's easy to compare the curves, yet all the curves are distinguishable. For example, if they weren't on top of each other, it would be hard to answer a question like, "Does the curve with the largest first peak have the largest second peak?"
– tom10
Nov 14 '18 at 3:41
add a comment |
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1
Welcome to StackOverflow! Please provide a Minimal, Complete, and Verifiable example of what you've tried so far so we can reproduce your issue.
– Joseph Cho
Nov 14 '18 at 1:33
There's no definitive presentation for data - it just depends on what you want to emphasize. A common thing to do is just add an offset to the curves, say, add 0 to the 1st, 4000 to the 2nd, 8000 to the 3rd, and so on. Personally, though, I like the figure as is, because although it looks a bit messy, it's easy to compare the curves, yet all the curves are distinguishable. For example, if they weren't on top of each other, it would be hard to answer a question like, "Does the curve with the largest first peak have the largest second peak?"
– tom10
Nov 14 '18 at 3:41