Finding minimum from ListPlot
$begingroup$
I have Table with 10000 elements in it and I plot a graphic using ListPlot.
I need find minimum in graph.
Here is a .txt file with data.
I tried to use
Min[Data[[All,1]]]
the result is 0.
, cuz it search the first point of x
but I don't need the first one.
plotting list-manipulation mathematical-optimization peak-detection
$endgroup$
add a comment |
$begingroup$
I have Table with 10000 elements in it and I plot a graphic using ListPlot.
I need find minimum in graph.
Here is a .txt file with data.
I tried to use
Min[Data[[All,1]]]
the result is 0.
, cuz it search the first point of x
but I don't need the first one.
plotting list-manipulation mathematical-optimization peak-detection
$endgroup$
$begingroup$
Data[[Ordering[Data[[All,2]],1][[1]],1]]
?
$endgroup$
– Henrik Schumacher
12 hours ago
add a comment |
$begingroup$
I have Table with 10000 elements in it and I plot a graphic using ListPlot.
I need find minimum in graph.
Here is a .txt file with data.
I tried to use
Min[Data[[All,1]]]
the result is 0.
, cuz it search the first point of x
but I don't need the first one.
plotting list-manipulation mathematical-optimization peak-detection
$endgroup$
I have Table with 10000 elements in it and I plot a graphic using ListPlot.
I need find minimum in graph.
Here is a .txt file with data.
I tried to use
Min[Data[[All,1]]]
the result is 0.
, cuz it search the first point of x
but I don't need the first one.
plotting list-manipulation mathematical-optimization peak-detection
plotting list-manipulation mathematical-optimization peak-detection
edited 14 mins ago
Community♦
1
1
asked 12 hours ago
JohnJohn
32016
32016
$begingroup$
Data[[Ordering[Data[[All,2]],1][[1]],1]]
?
$endgroup$
– Henrik Schumacher
12 hours ago
add a comment |
$begingroup$
Data[[Ordering[Data[[All,2]],1][[1]],1]]
?
$endgroup$
– Henrik Schumacher
12 hours ago
$begingroup$
Data[[Ordering[Data[[All,2]],1][[1]],1]]
?$endgroup$
– Henrik Schumacher
12 hours ago
$begingroup$
Data[[Ordering[Data[[All,2]],1][[1]],1]]
?$endgroup$
– Henrik Schumacher
12 hours ago
add a comment |
3 Answers
3
active
oldest
votes
$begingroup$
This is how I would go about it:
minIndex = data[[All, 2]] // MinDetect // PositionIndex;
Now all the positions of the minima were collected in an Association
and given the key 1
. We now want to split the list of minima positions into sublists that are "connected", e.g. where each position is separated by a distance of 1. From these sublists we only need the first and the last positions (the "corners"):
minPositions = minIndex[1] // RightComposition[
Split[#, #1 == #2 - 1 &] & (* distance could be made more "soft" of course *)
, Part[#, All, {1, -1}] &
, Flatten
]
{1, 276, 1167, 2844}
We now Extract
the data points for these positions dropping the first, which you do not need as you said:
minPoints = Extract[data, List /@ minPositions] // Drop[#, 1] &
{{0.275, 0.}, {1.166, 0.}, {2.843, 0.}}
Finally:
ListPlot[ data, Epilog -> {Red, PointSize -> Large, Point@minPoints }, ImageSize -> Large ]
$endgroup$
add a comment |
$begingroup$
lp = ListLinePlot[data,
MeshFunctions -> {#2 &},
MeshStyle -> Directive[Red, PointSize[Large]],
Mesh -> {{Min[data[[All, 2]]]}},
AxesOrigin -> {0, -.01}]
To extract the data elements:
Cases[Normal @ lp, Point[x_] :> x, All]
{{0., 0.}, {0.275, 0.}, {1.166, 0.}, {2.843, 0.}}
If you want to remove the first point:
lp /. Point[x_] :> Point[Rest @ x]
$endgroup$
add a comment |
$begingroup$
This should do:
MinimalBy[Data, Last]
If you have runs of minimal elements and only want the first and last one: assuming that the grid spacing is 0.001 and inserting 10% of tolerance,
Split[MinimalBy[Data, Last], #2[[1]]-#1[[1]] <= 0.0011 &][[All, {1,-1}]]
maybe combined with Flatten
to make into a single list of points.
$endgroup$
add a comment |
Your Answer
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
This is how I would go about it:
minIndex = data[[All, 2]] // MinDetect // PositionIndex;
Now all the positions of the minima were collected in an Association
and given the key 1
. We now want to split the list of minima positions into sublists that are "connected", e.g. where each position is separated by a distance of 1. From these sublists we only need the first and the last positions (the "corners"):
minPositions = minIndex[1] // RightComposition[
Split[#, #1 == #2 - 1 &] & (* distance could be made more "soft" of course *)
, Part[#, All, {1, -1}] &
, Flatten
]
{1, 276, 1167, 2844}
We now Extract
the data points for these positions dropping the first, which you do not need as you said:
minPoints = Extract[data, List /@ minPositions] // Drop[#, 1] &
{{0.275, 0.}, {1.166, 0.}, {2.843, 0.}}
Finally:
ListPlot[ data, Epilog -> {Red, PointSize -> Large, Point@minPoints }, ImageSize -> Large ]
$endgroup$
add a comment |
$begingroup$
This is how I would go about it:
minIndex = data[[All, 2]] // MinDetect // PositionIndex;
Now all the positions of the minima were collected in an Association
and given the key 1
. We now want to split the list of minima positions into sublists that are "connected", e.g. where each position is separated by a distance of 1. From these sublists we only need the first and the last positions (the "corners"):
minPositions = minIndex[1] // RightComposition[
Split[#, #1 == #2 - 1 &] & (* distance could be made more "soft" of course *)
, Part[#, All, {1, -1}] &
, Flatten
]
{1, 276, 1167, 2844}
We now Extract
the data points for these positions dropping the first, which you do not need as you said:
minPoints = Extract[data, List /@ minPositions] // Drop[#, 1] &
{{0.275, 0.}, {1.166, 0.}, {2.843, 0.}}
Finally:
ListPlot[ data, Epilog -> {Red, PointSize -> Large, Point@minPoints }, ImageSize -> Large ]
$endgroup$
add a comment |
$begingroup$
This is how I would go about it:
minIndex = data[[All, 2]] // MinDetect // PositionIndex;
Now all the positions of the minima were collected in an Association
and given the key 1
. We now want to split the list of minima positions into sublists that are "connected", e.g. where each position is separated by a distance of 1. From these sublists we only need the first and the last positions (the "corners"):
minPositions = minIndex[1] // RightComposition[
Split[#, #1 == #2 - 1 &] & (* distance could be made more "soft" of course *)
, Part[#, All, {1, -1}] &
, Flatten
]
{1, 276, 1167, 2844}
We now Extract
the data points for these positions dropping the first, which you do not need as you said:
minPoints = Extract[data, List /@ minPositions] // Drop[#, 1] &
{{0.275, 0.}, {1.166, 0.}, {2.843, 0.}}
Finally:
ListPlot[ data, Epilog -> {Red, PointSize -> Large, Point@minPoints }, ImageSize -> Large ]
$endgroup$
This is how I would go about it:
minIndex = data[[All, 2]] // MinDetect // PositionIndex;
Now all the positions of the minima were collected in an Association
and given the key 1
. We now want to split the list of minima positions into sublists that are "connected", e.g. where each position is separated by a distance of 1. From these sublists we only need the first and the last positions (the "corners"):
minPositions = minIndex[1] // RightComposition[
Split[#, #1 == #2 - 1 &] & (* distance could be made more "soft" of course *)
, Part[#, All, {1, -1}] &
, Flatten
]
{1, 276, 1167, 2844}
We now Extract
the data points for these positions dropping the first, which you do not need as you said:
minPoints = Extract[data, List /@ minPositions] // Drop[#, 1] &
{{0.275, 0.}, {1.166, 0.}, {2.843, 0.}}
Finally:
ListPlot[ data, Epilog -> {Red, PointSize -> Large, Point@minPoints }, ImageSize -> Large ]
answered 11 hours ago
gwrgwr
8,42322761
8,42322761
add a comment |
add a comment |
$begingroup$
lp = ListLinePlot[data,
MeshFunctions -> {#2 &},
MeshStyle -> Directive[Red, PointSize[Large]],
Mesh -> {{Min[data[[All, 2]]]}},
AxesOrigin -> {0, -.01}]
To extract the data elements:
Cases[Normal @ lp, Point[x_] :> x, All]
{{0., 0.}, {0.275, 0.}, {1.166, 0.}, {2.843, 0.}}
If you want to remove the first point:
lp /. Point[x_] :> Point[Rest @ x]
$endgroup$
add a comment |
$begingroup$
lp = ListLinePlot[data,
MeshFunctions -> {#2 &},
MeshStyle -> Directive[Red, PointSize[Large]],
Mesh -> {{Min[data[[All, 2]]]}},
AxesOrigin -> {0, -.01}]
To extract the data elements:
Cases[Normal @ lp, Point[x_] :> x, All]
{{0., 0.}, {0.275, 0.}, {1.166, 0.}, {2.843, 0.}}
If you want to remove the first point:
lp /. Point[x_] :> Point[Rest @ x]
$endgroup$
add a comment |
$begingroup$
lp = ListLinePlot[data,
MeshFunctions -> {#2 &},
MeshStyle -> Directive[Red, PointSize[Large]],
Mesh -> {{Min[data[[All, 2]]]}},
AxesOrigin -> {0, -.01}]
To extract the data elements:
Cases[Normal @ lp, Point[x_] :> x, All]
{{0., 0.}, {0.275, 0.}, {1.166, 0.}, {2.843, 0.}}
If you want to remove the first point:
lp /. Point[x_] :> Point[Rest @ x]
$endgroup$
lp = ListLinePlot[data,
MeshFunctions -> {#2 &},
MeshStyle -> Directive[Red, PointSize[Large]],
Mesh -> {{Min[data[[All, 2]]]}},
AxesOrigin -> {0, -.01}]
To extract the data elements:
Cases[Normal @ lp, Point[x_] :> x, All]
{{0., 0.}, {0.275, 0.}, {1.166, 0.}, {2.843, 0.}}
If you want to remove the first point:
lp /. Point[x_] :> Point[Rest @ x]
edited 9 hours ago
answered 10 hours ago
kglrkglr
183k10201416
183k10201416
add a comment |
add a comment |
$begingroup$
This should do:
MinimalBy[Data, Last]
If you have runs of minimal elements and only want the first and last one: assuming that the grid spacing is 0.001 and inserting 10% of tolerance,
Split[MinimalBy[Data, Last], #2[[1]]-#1[[1]] <= 0.0011 &][[All, {1,-1}]]
maybe combined with Flatten
to make into a single list of points.
$endgroup$
add a comment |
$begingroup$
This should do:
MinimalBy[Data, Last]
If you have runs of minimal elements and only want the first and last one: assuming that the grid spacing is 0.001 and inserting 10% of tolerance,
Split[MinimalBy[Data, Last], #2[[1]]-#1[[1]] <= 0.0011 &][[All, {1,-1}]]
maybe combined with Flatten
to make into a single list of points.
$endgroup$
add a comment |
$begingroup$
This should do:
MinimalBy[Data, Last]
If you have runs of minimal elements and only want the first and last one: assuming that the grid spacing is 0.001 and inserting 10% of tolerance,
Split[MinimalBy[Data, Last], #2[[1]]-#1[[1]] <= 0.0011 &][[All, {1,-1}]]
maybe combined with Flatten
to make into a single list of points.
$endgroup$
This should do:
MinimalBy[Data, Last]
If you have runs of minimal elements and only want the first and last one: assuming that the grid spacing is 0.001 and inserting 10% of tolerance,
Split[MinimalBy[Data, Last], #2[[1]]-#1[[1]] <= 0.0011 &][[All, {1,-1}]]
maybe combined with Flatten
to make into a single list of points.
edited 9 hours ago
answered 10 hours ago
RomanRoman
1,012511
1,012511
add a comment |
add a comment |
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$begingroup$
Data[[Ordering[Data[[All,2]],1][[1]],1]]
?$endgroup$
– Henrik Schumacher
12 hours ago