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Interactive labeling/annotating of time series data

Recommendations for storing time series dataPCA on acceleration time series dataLabeling Dataset AlgorithmicallyAre there any tools to make text labeling faster?Which process step in KDD or CRISP-DM includes labeling of the data?Dealing with long sequence labelingUsing ontology to infer labels for process modelWhat is cross-labeling?Weakly supervised learning and missing labels for data that likely contains that labelSuggestions for labeling data for named entity recognition

5

1

$begingroup$

I have a data set of time series data. I'm looking for an annotation (or labeling) tool to visualize it and to be able to interactively add labels on it, in order to get annotated data that I can use for supervised ML.

E.g. the input data is a csv-file and the output is another csv-file of the format timestamp,label.

Therefore I need something like this:

1. to visualize data


2. to select a specific area


3. output the labels with timestamps

As an example:

Building such a tool in python will not take too long, however I was just wondering how other people solve this problem and maybe there are already nice OS tools for doing this. Thank you!

machine-learning python data labels

share|improve this question

asked Sep 11 '18 at 6:19

mibrl12mibrl12

1261

$endgroup$

• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  If you're plotting in python, chances are your best bet is to annotate in python, not in the OS.
  $endgroup$
  – Adrian Keister
  Sep 13 '18 at 15:56
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  @AdrianKeister When I wrote OS, I meant an open source project.
  $endgroup$
  – mibrl12
  Sep 14 '18 at 11:31
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  I was about to ask the exactly same question before i found yours. I also need such a tool to annotate data for my thesis. Did you solve the problem yet? I was about to use django and write my own data labeleler.
  $endgroup$
  – dataddicted
  Mar 3 at 10:06
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  @dataddicted I started writing the tool, however due to the small amount of data, I just labeled it manually and forgot about it for now ^^ please share the link to your github if you start doing it seriously ;)
  $endgroup$
  – mibrl12
  Mar 5 at 16:45
  

  
  
  
  

add a comment | 

5

1

$begingroup$

I have a data set of time series data. I'm looking for an annotation (or labeling) tool to visualize it and to be able to interactively add labels on it, in order to get annotated data that I can use for supervised ML.

E.g. the input data is a csv-file and the output is another csv-file of the format timestamp,label.

Therefore I need something like this:

1. to visualize data


2. to select a specific area


3. output the labels with timestamps

As an example:

Building such a tool in python will not take too long, however I was just wondering how other people solve this problem and maybe there are already nice OS tools for doing this. Thank you!

machine-learning python data labels

share|improve this question

asked Sep 11 '18 at 6:19

mibrl12mibrl12

1261

$endgroup$

• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  If you're plotting in python, chances are your best bet is to annotate in python, not in the OS.
  $endgroup$
  – Adrian Keister
  Sep 13 '18 at 15:56
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  @AdrianKeister When I wrote OS, I meant an open source project.
  $endgroup$
  – mibrl12
  Sep 14 '18 at 11:31
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  I was about to ask the exactly same question before i found yours. I also need such a tool to annotate data for my thesis. Did you solve the problem yet? I was about to use django and write my own data labeleler.
  $endgroup$
  – dataddicted
  Mar 3 at 10:06
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  @dataddicted I started writing the tool, however due to the small amount of data, I just labeled it manually and forgot about it for now ^^ please share the link to your github if you start doing it seriously ;)
  $endgroup$
  – mibrl12
  Mar 5 at 16:45
  

  
  
  
  

add a comment | 

$begingroup$

I have a data set of time series data. I'm looking for an annotation (or labeling) tool to visualize it and to be able to interactively add labels on it, in order to get annotated data that I can use for supervised ML.

E.g. the input data is a csv-file and the output is another csv-file of the format timestamp,label.

Therefore I need something like this:

1. to visualize data


2. to select a specific area


3. output the labels with timestamps

As an example:

Building such a tool in python will not take too long, however I was just wondering how other people solve this problem and maybe there are already nice OS tools for doing this. Thank you!

machine-learning python data labels

share|improve this question

asked Sep 11 '18 at 6:19

mibrl12mibrl12

1261

$endgroup$

share|improve this question

asked Sep 11 '18 at 6:19

mibrl12mibrl12

1261

share|improve this question

asked Sep 11 '18 at 6:19

mibrl12mibrl12

1261

asked Sep 11 '18 at 6:19

mibrl12mibrl12

1261

asked Sep 11 '18 at 6:19

mibrl12mibrl12

1261

3 Answers
3

active

oldest

votes

1

$begingroup$

I also need such a tool to annotate data but did not found any suitable tool. Therefore, i wrote a small python app by myself, just abused matplotlib for this task.

I used matplotlib.use('TkAgg') and SpanSelector with my own onselect(xmin, xmax) method called for this task.
Check this code example: https://matplotlib.org/gallery/widgets/span_selector.html

share|improve this answer

answered yesterday

dataddicteddataddicted

111

New contributor

dataddicted is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

add a comment | 

0

$begingroup$

I'm using axvspan() function from matplotlib.pyplot.
Main disadvantage is a difficult configuration of text labels.

import matplotlib.pyplot as plt
import numpy as np
t = np.arange(0,3.14,0.01)
s = np.sin(t)
plt.axvspan(t[12], t[100], facecolor='blue', alpha=0.2)
plt.plot(t,s,color='red')

share|improve this answer

answered Dec 18 '18 at 20:57

RolanRolan

1

$endgroup$

add a comment | 

0

$begingroup$

Nova can do it interactively. https://github.com/hcmlab/nova
It's much more powerful than just labeling time-series data, but you can just do labeling with it. Also, I suggest you set the sample rate frequency to 1Hz. Best of Luck.

share|improve this answer

answered Jan 11 at 6:33

drerDdrerD

1

$endgroup$

add a comment | 

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1

$begingroup$

I also need such a tool to annotate data but did not found any suitable tool. Therefore, i wrote a small python app by myself, just abused matplotlib for this task.

I used matplotlib.use('TkAgg') and SpanSelector with my own onselect(xmin, xmax) method called for this task.
Check this code example: https://matplotlib.org/gallery/widgets/span_selector.html

share|improve this answer

answered yesterday

dataddicteddataddicted

111

New contributor

dataddicted is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

add a comment | 

1

$begingroup$

I also need such a tool to annotate data but did not found any suitable tool. Therefore, i wrote a small python app by myself, just abused matplotlib for this task.

I used matplotlib.use('TkAgg') and SpanSelector with my own onselect(xmin, xmax) method called for this task.
Check this code example: https://matplotlib.org/gallery/widgets/span_selector.html

share|improve this answer

answered yesterday

dataddicteddataddicted

111

New contributor

dataddicted is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

add a comment | 

$begingroup$

I also need such a tool to annotate data but did not found any suitable tool. Therefore, i wrote a small python app by myself, just abused matplotlib for this task.

I used matplotlib.use('TkAgg') and SpanSelector with my own onselect(xmin, xmax) method called for this task.
Check this code example: https://matplotlib.org/gallery/widgets/span_selector.html

share|improve this answer

answered yesterday

dataddicteddataddicted

111

New contributor

dataddicted is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

share|improve this answer

answered yesterday

dataddicteddataddicted

111

New contributor

dataddicted is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

answered yesterday

dataddicteddataddicted

111

New contributor

dataddicted is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

answered yesterday

dataddicteddataddicted

111

0

$begingroup$

I'm using axvspan() function from matplotlib.pyplot.
Main disadvantage is a difficult configuration of text labels.

import matplotlib.pyplot as plt
import numpy as np
t = np.arange(0,3.14,0.01)
s = np.sin(t)
plt.axvspan(t[12], t[100], facecolor='blue', alpha=0.2)
plt.plot(t,s,color='red')

share|improve this answer

answered Dec 18 '18 at 20:57

RolanRolan

1

$endgroup$

add a comment | 

0

$begingroup$

I'm using axvspan() function from matplotlib.pyplot.
Main disadvantage is a difficult configuration of text labels.

import matplotlib.pyplot as plt
import numpy as np
t = np.arange(0,3.14,0.01)
s = np.sin(t)
plt.axvspan(t[12], t[100], facecolor='blue', alpha=0.2)
plt.plot(t,s,color='red')

share|improve this answer

answered Dec 18 '18 at 20:57

RolanRolan

1

$endgroup$

add a comment | 

$begingroup$

I'm using axvspan() function from matplotlib.pyplot.
Main disadvantage is a difficult configuration of text labels.

import matplotlib.pyplot as plt
import numpy as np
t = np.arange(0,3.14,0.01)
s = np.sin(t)
plt.axvspan(t[12], t[100], facecolor='blue', alpha=0.2)
plt.plot(t,s,color='red')

share|improve this answer

answered Dec 18 '18 at 20:57

RolanRolan

1

$endgroup$

import matplotlib.pyplot as plt
import numpy as np
t = np.arange(0,3.14,0.01)
s = np.sin(t)
plt.axvspan(t[12], t[100], facecolor='blue', alpha=0.2)
plt.plot(t,s,color='red')

share|improve this answer

answered Dec 18 '18 at 20:57

RolanRolan

1

answered Dec 18 '18 at 20:57

RolanRolan

1

answered Dec 18 '18 at 20:57

RolanRolan

1

0

$begingroup$

Nova can do it interactively. https://github.com/hcmlab/nova
It's much more powerful than just labeling time-series data, but you can just do labeling with it. Also, I suggest you set the sample rate frequency to 1Hz. Best of Luck.

share|improve this answer

answered Jan 11 at 6:33

drerDdrerD

1

$endgroup$

add a comment | 

0

$begingroup$

Nova can do it interactively. https://github.com/hcmlab/nova
It's much more powerful than just labeling time-series data, but you can just do labeling with it. Also, I suggest you set the sample rate frequency to 1Hz. Best of Luck.

share|improve this answer

answered Jan 11 at 6:33

drerDdrerD

1

$endgroup$

add a comment | 

$begingroup$

Nova can do it interactively. https://github.com/hcmlab/nova
It's much more powerful than just labeling time-series data, but you can just do labeling with it. Also, I suggest you set the sample rate frequency to 1Hz. Best of Luck.

share|improve this answer

answered Jan 11 at 6:33

drerDdrerD

1

$endgroup$

share|improve this answer

answered Jan 11 at 6:33

drerDdrerD

1

answered Jan 11 at 6:33

drerDdrerD

1

answered Jan 11 at 6:33

drerDdrerD

1