problem with auto plotting data

model = KElbowVisualizer(KMeans(init='k-means++', max_iter=10000, n_init=10), k=(4,12))
model.fit(X)
model.elbow_value_

Since I did not use mode.show (), I expect the above code not to show me a plot, but it does.

Desktop :

• OS: Windows 10
• Python Version 3.8.10[anaconda]
• Yellowbrick Version ‘1.3.post1’

[maghaali]

Hi @spacelover92 @jhgrey-su, and thanks for using Yellowbrick!

The auto-plotting you’re observing is likely related to Jupyter notebook and not Yellowbrick. Jupyter notebook is setting the inline backend as the default. In older versions of Jupyter notebook, you would have to turn on inline plotting manually with %matplotlib inline; nowadays it is set as turned on by default. It’s similar to the reason why doing print(viz.elbow_value_) is the same as viz.elbow_value_ when you’re inside a Jupyter notebook.

If you run the same Yellowbrick code in the command line, you won’t get a plot without the call to show(). You can also explicitly pass show=False to a Visualizer to ensure the plot isn’t shown (note that the plot may still show inside a Jupyter notebook where inline is turned on):

model = KMeans(
    init='k-means++', 
    max_iter=10000, 
    n_init=10
)
viz = KElbowVisualizer(model, k=(4,12), show=False)
viz.fit(X)
print(viz.elbow_value_)

It appears you can circumvent plotting in a Jupyter notebook if that solution is more appropriate to you.

Thanks again for being Yellowbrick users!

Thank you for your answer Adding

plt.close("all")

at the end of code cell worked for me in jupyter notebook

[bbengfort]

@jhgrey-su glad that you figured it out!