RadViz does not plot when transform is called

Describe the bug I wanted to fit the model on the dataset and obtain its plot by using transform function on their subset. While working with RadViz, I found that it plots the graph when fit method is called. However, it should plot the output, when the transform method is implemented as described in the domentation. Moreover, I did not get the desired result (i.e. plotting) when transform method is called. I was able to get these results using ‘Rank1D,’ but ‘RadViz’ did not work.

Output with Rank1D

Output with RadViz

To Reproduce

from yellowbrick.features import Rank1D
from yellowbrick.features import RadViz
fig=plt.figure()
visualizer = RadViz(features=features,classes=classes)
visualizer.fit(X, y)                # Fit the data to the visualizer
for i in range(5):
    ax0 = fig.add_subplot(5,1,i+1)
    visualizer.ax=ax0
    visualizer.transform(X[i*100:(i+1)*100])             # Transform the data
        
fig=plt.figure()
visualizer = Rank1D(features=features, algorithm='shapiro')
visualizer.fit(X, y)                # Fit the data to the visualizer
for i in range(5):
    ax0 = fig.add_subplot(5,1,i+1)
    visualizer.ax=ax0
    visualizer.transform(X[i*100:(i+1)*100])             # Transform the data
        
        

Dataset I used bikeshare dataset and used features = [‘temp’,‘humidity’,‘windspeed’,‘registered’,‘riders’] and ‘holiday’ as y.

[bbengfort]

@rebeccabilbro @naresh-bachwani I believe that this issue with the inconsistent API has now been fixed, and it’s a matter of more deeply researching how to do multi-visualizer/multi-figure drawing. Let’s go ahead and close this issue and explore it more specifically if it comes up in a different way!

[rebeccabilbro]

@naresh-bachwani @bbengfort I believe this issue has been resolved following the changes made in #973 and for #960. Now neither of these visualizers actually plots until show() is called. Can you guys confirm that this issue can be closed?