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Expected behavior
The code should display the output of the CooksDistance regressor
Traceback
TypeError Traceback (most recent call last)
Cell In[26], line 19
16 # Creating the Cook's distance plot
17 visualizer = CooksDistance()
---> 19 visualizer.fit(X, y)
21 # Saving plot in PNG format
22 visualizer.show(outpath="Cook's_Distance_Plot.png")
File ~/anaconda3/lib/python3.11/site-packages/yellowbrick/regressor/influence.py:173, in CooksDistance.fit(self, X, y)
168 self.outlier_percentage_ = (
169 sum(self.distance_ > self.influence_threshold_) / X.shape[0]
170 )
171 self.outlier_percentage_ *= 100.0
--> 173 self.draw()
174 return self
File ~/anaconda3/lib/python3.11/site-packages/yellowbrick/regressor/influence.py:182, in CooksDistance.draw(self)
177 """
178 Draws a stem plot where each stem is the Cook's Distance of the instance at the
179 index specified by the x axis. Optionaly draws a threshold line.
180 """
181 # Draw a stem plot with the influence for each instance
--> 182 _, _, baseline = self.ax.stem(
183 self.distance_, linefmt=self.linefmt, markerfmt=self.markerfmt,
184 use_line_collection=True
185 )
187 # No padding on either side of the instance index
188 self.ax.set_xlim(0, len(self.distance_))
File ~/anaconda3/lib/python3.11/site-packages/matplotlib/__init__.py:1465, in _preprocess_data.<locals>.inner(ax, data, *args, **kwargs)
1462 @functools.wraps(func)
1463 def inner(ax, *args, data=None, **kwargs):
1464 if data is None:
-> 1465 return func(ax, *map(sanitize_sequence, args), **kwargs)
1467 bound = new_sig.bind(ax, *args, **kwargs)
1468 auto_label = (bound.arguments.get(label_namer)
1469 or bound.kwargs.get(label_namer))
TypeError: Axes.stem() got an unexpected keyword argument 'use_line_collection'
Desktop (please complete the following information):
OS: [MacOS
Python Version Python 3.11.5
Yellowbrick Version - not sure of the umber but I only just installed it and also ran a -u update, so believe it is the latest
Additional context
When I tried to find a solution online, the responses pointed to a change in Matplotlib form v3.8 onwards and I wondered if this si the issue (I assume Yellowbricks code would need altering to account for this update)?
The text was updated successfully, but these errors were encountered:
Describe the bug
I recieve the error: 'Axes.stem() got an unexpected keyword argument 'use_line_collection'
To Reproduce
import os
import pandas as pd
from yellowbrick.regressor import CooksDistance
df = pd.read_csv('Advertising.csv')
X = df[['TV', 'Radio', 'Newspaper']]
y = df['Sales']
visualizer = CooksDistance()
visualizer.fit(X, y)
visualizer.show(outpath="Cook's_Distance_Plot.png")
Dataset
Did you use a specific dataset to produce the bug? Where can we access it?
Expected behavior
The code should display the output of the CooksDistance regressor
Traceback
Desktop (please complete the following information):
Additional context
When I tried to find a solution online, the responses pointed to a change in Matplotlib form v3.8 onwards and I wondered if this si the issue (I assume Yellowbricks code would need altering to account for this update)?
The text was updated successfully, but these errors were encountered: