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How to plot only a specific DBSCAN label using matplotlib?
How do you change the size of figures drawn with matplotlib?Plotting time in Python with MatplotlibHow to put the legend out of the plotHow to create an HTML checkbox with a clickable labelSave plot to image file instead of displaying it using MatplotlibHow do I plot in real-time in a while loop using matplotlib?Setting different color for each series in scatter plot on matplotlibHow to make IPython notebook matplotlib plot inlineVarying cluster labels in DBSCANDBSCAN clustering plotting through ggplot2
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I'm working with sckitlearn/matplotlib to clusterize and plot some data, with 3D projection. The code is working fine, but now I want to plot only a specific DBSCAN label.
I expect to plot individually the labels 0 or 1 or 2, so I can identify more easily the data in each cluster. How can I extract these values? Any ideas?
python-2.7 matplotlib label dbscan
asked Mar 23 at 20:47
Bruno SantosBruno Santos
234
add a comment |
I'm working with sckitlearn/matplotlib to clusterize and plot some data, with 3D projection. The code is working fine, but now I want to plot only a specific DBSCAN label.
I expect to plot individually the labels 0 or 1 or 2, so I can identify more easily the data in each cluster. How can I extract these values? Any ideas?
python-2.7 matplotlib label dbscan
asked Mar 23 at 20:47
Bruno SantosBruno Santos
234
add a comment |
I'm working with sckitlearn/matplotlib to clusterize and plot some data, with 3D projection. The code is working fine, but now I want to plot only a specific DBSCAN label.
I expect to plot individually the labels 0 or 1 or 2, so I can identify more easily the data in each cluster. How can I extract these values? Any ideas?
python-2.7 matplotlib label dbscan
asked Mar 23 at 20:47
Bruno SantosBruno Santos
234
I'm working with sckitlearn/matplotlib to clusterize and plot some data, with 3D projection. The code is working fine, but now I want to plot only a specific DBSCAN label.
I expect to plot individually the labels 0 or 1 or 2, so I can identify more easily the data in each cluster. How can I extract these values? Any ideas?
python-2.7 matplotlib label dbscan
python-2.7 matplotlib label dbscan
asked Mar 23 at 20:47
Bruno SantosBruno Santos
234
asked Mar 23 at 20:47
Bruno SantosBruno Santos
234
asked Mar 23 at 20:47
Bruno SantosBruno Santos
234
asked Mar 23 at 20:47
Bruno SantosBruno Santos
234
asked Mar 23 at 20:47
Bruno SantosBruno Santos
234
234
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Use array indexing.
You can plot X[label == 1] easily.
answered Mar 23 at 23:06
Anony-MousseAnony-Mousse
60k799164
I'm plotting like: plt.scatter(X[:,0], X[:,1], X[:,2], c=db.labels_, cmap='rainbow') Altering to: plt.scatter(X[db.labels_ == 1], c=db.labels_, cmap='rainbow') or plt.scatter(X[db.labels_ == 1], X[db.labels_ == 1], X[db.labels_ == 1], c=db.labels_, cmap='rainbow') did not go well.
– Bruno Santos
Mar 24 at 14:01
SinceXis 2d, you'll want a two dimensional index there, as before. Or you definesubX=X[labels==1]and plot it as before.
– Anony-Mousse
Mar 24 at 14:36
add a comment |
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1 Answer
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1 Answer
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active
oldest
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active
oldest
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active
oldest
votes
Use array indexing.
You can plot X[label == 1] easily.
answered Mar 23 at 23:06
Anony-MousseAnony-Mousse
60k799164
I'm plotting like: plt.scatter(X[:,0], X[:,1], X[:,2], c=db.labels_, cmap='rainbow') Altering to: plt.scatter(X[db.labels_ == 1], c=db.labels_, cmap='rainbow') or plt.scatter(X[db.labels_ == 1], X[db.labels_ == 1], X[db.labels_ == 1], c=db.labels_, cmap='rainbow') did not go well.
– Bruno Santos
Mar 24 at 14:01
SinceXis 2d, you'll want a two dimensional index there, as before. Or you definesubX=X[labels==1]and plot it as before.
– Anony-Mousse
Mar 24 at 14:36
add a comment |
Use array indexing.
You can plot X[label == 1] easily.
answered Mar 23 at 23:06
Anony-MousseAnony-Mousse
60k799164
I'm plotting like: plt.scatter(X[:,0], X[:,1], X[:,2], c=db.labels_, cmap='rainbow') Altering to: plt.scatter(X[db.labels_ == 1], c=db.labels_, cmap='rainbow') or plt.scatter(X[db.labels_ == 1], X[db.labels_ == 1], X[db.labels_ == 1], c=db.labels_, cmap='rainbow') did not go well.
– Bruno Santos
Mar 24 at 14:01
SinceXis 2d, you'll want a two dimensional index there, as before. Or you definesubX=X[labels==1]and plot it as before.
– Anony-Mousse
Mar 24 at 14:36
add a comment |
Use array indexing.
You can plot X[label == 1] easily.
answered Mar 23 at 23:06
Anony-MousseAnony-Mousse
60k799164
Use array indexing.
You can plot X[label == 1] easily.
answered Mar 23 at 23:06
Anony-MousseAnony-Mousse
60k799164
answered Mar 23 at 23:06
Anony-MousseAnony-Mousse
60k799164
answered Mar 23 at 23:06
Anony-MousseAnony-Mousse
60k799164
answered Mar 23 at 23:06
Anony-MousseAnony-Mousse
60k799164
60k799164
I'm plotting like: plt.scatter(X[:,0], X[:,1], X[:,2], c=db.labels_, cmap='rainbow') Altering to: plt.scatter(X[db.labels_ == 1], c=db.labels_, cmap='rainbow') or plt.scatter(X[db.labels_ == 1], X[db.labels_ == 1], X[db.labels_ == 1], c=db.labels_, cmap='rainbow') did not go well.
– Bruno Santos
Mar 24 at 14:01
SinceXis 2d, you'll want a two dimensional index there, as before. Or you definesubX=X[labels==1]and plot it as before.
– Anony-Mousse
Mar 24 at 14:36
add a comment |
I'm plotting like: plt.scatter(X[:,0], X[:,1], X[:,2], c=db.labels_, cmap='rainbow') Altering to: plt.scatter(X[db.labels_ == 1], c=db.labels_, cmap='rainbow') or plt.scatter(X[db.labels_ == 1], X[db.labels_ == 1], X[db.labels_ == 1], c=db.labels_, cmap='rainbow') did not go well.
– Bruno Santos
Mar 24 at 14:01
SinceXis 2d, you'll want a two dimensional index there, as before. Or you definesubX=X[labels==1]and plot it as before.
– Anony-Mousse
Mar 24 at 14:36
I'm plotting like: plt.scatter(X[:,0], X[:,1], X[:,2], c=db.labels_, cmap='rainbow') Altering to: plt.scatter(X[db.labels_ == 1], c=db.labels_, cmap='rainbow') or plt.scatter(X[db.labels_ == 1], X[db.labels_ == 1], X[db.labels_ == 1], c=db.labels_, cmap='rainbow') did not go well.
– Bruno Santos
Mar 24 at 14:01
I'm plotting like: plt.scatter(X[:,0], X[:,1], X[:,2], c=db.labels_, cmap='rainbow') Altering to: plt.scatter(X[db.labels_ == 1], c=db.labels_, cmap='rainbow') or plt.scatter(X[db.labels_ == 1], X[db.labels_ == 1], X[db.labels_ == 1], c=db.labels_, cmap='rainbow') did not go well.
– Bruno Santos
Mar 24 at 14:01
Since
X is 2d, you'll want a two dimensional index there, as before. Or you define subX=X[labels==1] and plot it as before.– Anony-Mousse
Mar 24 at 14:36
Since
X is 2d, you'll want a two dimensional index there, as before. Or you define subX=X[labels==1] and plot it as before.– Anony-Mousse
Mar 24 at 14:36
add a comment |
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