How to resize the image of the tree using sklearn tree and export_graph_viz within a Jupyter Notebook
I am using export_graph_viz to visualize a decision tree but the image spreads out of view in my Jupyter Notebook.
If this was a pyplot figure I would use the command plt.figure(figsize = (12,7)) to constrain the visualization. But in this case I donot know how to proceed.
Below is a snapshot of my Jupyter Notebook and what I see:
Your advice will be appreciated.
python scikit-learn tree jupyter-notebook graphviz
asked Nov 20 '18 at 10:55
user8270077user8270077
745311
add a comment |
I am using export_graph_viz to visualize a decision tree but the image spreads out of view in my Jupyter Notebook.
If this was a pyplot figure I would use the command plt.figure(figsize = (12,7)) to constrain the visualization. But in this case I donot know how to proceed.
Below is a snapshot of my Jupyter Notebook and what I see:
Your advice will be appreciated.
python scikit-learn tree jupyter-notebook graphviz
asked Nov 20 '18 at 10:55
user8270077user8270077
745311
add a comment |
I am using export_graph_viz to visualize a decision tree but the image spreads out of view in my Jupyter Notebook.
If this was a pyplot figure I would use the command plt.figure(figsize = (12,7)) to constrain the visualization. But in this case I donot know how to proceed.
Below is a snapshot of my Jupyter Notebook and what I see:
Your advice will be appreciated.
python scikit-learn tree jupyter-notebook graphviz
asked Nov 20 '18 at 10:55
user8270077user8270077
745311
I am using export_graph_viz to visualize a decision tree but the image spreads out of view in my Jupyter Notebook.
If this was a pyplot figure I would use the command plt.figure(figsize = (12,7)) to constrain the visualization. But in this case I donot know how to proceed.
Below is a snapshot of my Jupyter Notebook and what I see:
Your advice will be appreciated.
python scikit-learn tree jupyter-notebook graphviz
python scikit-learn tree jupyter-notebook graphviz
asked Nov 20 '18 at 10:55
user8270077user8270077
745311
asked Nov 20 '18 at 10:55
user8270077user8270077
745311
asked Nov 20 '18 at 10:55
user8270077user8270077
745311
asked Nov 20 '18 at 10:55
user8270077user8270077
745311
asked Nov 20 '18 at 10:55
user8270077user8270077
745311
745311
add a comment |
add a comment |
1 Answer
1
active
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votes
You can save the visualized tree to a file and then show it with pyplot.
Example:
import matplotlib.pyplot as plt
import pydotplus
import matplotlib.image as mpimg
import io
from sklearn.externals.six import StringIO
from sklearn.tree import export_graphviz
dot_data = io.StringIO()
export_graphviz(clf, out_file=dot_data, rounded=True, filled=True)
filename = "tree.png"
pydotplus.graph_from_dot_data(dot_data.getvalue()).write_png(filename)
plt.figure(figsize=(12,12))
img = mpimg.imread(filename)
imgplot = plt.imshow(img)
plt.show()
Result:
answered Nov 20 '18 at 19:28
runcoderunruncoderun
37437
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can save the visualized tree to a file and then show it with pyplot.
Example:
import matplotlib.pyplot as plt
import pydotplus
import matplotlib.image as mpimg
import io
from sklearn.externals.six import StringIO
from sklearn.tree import export_graphviz
dot_data = io.StringIO()
export_graphviz(clf, out_file=dot_data, rounded=True, filled=True)
filename = "tree.png"
pydotplus.graph_from_dot_data(dot_data.getvalue()).write_png(filename)
plt.figure(figsize=(12,12))
img = mpimg.imread(filename)
imgplot = plt.imshow(img)
plt.show()
Result:
answered Nov 20 '18 at 19:28
runcoderunruncoderun
37437
add a comment |
You can save the visualized tree to a file and then show it with pyplot.
Example:
import matplotlib.pyplot as plt
import pydotplus
import matplotlib.image as mpimg
import io
from sklearn.externals.six import StringIO
from sklearn.tree import export_graphviz
dot_data = io.StringIO()
export_graphviz(clf, out_file=dot_data, rounded=True, filled=True)
filename = "tree.png"
pydotplus.graph_from_dot_data(dot_data.getvalue()).write_png(filename)
plt.figure(figsize=(12,12))
img = mpimg.imread(filename)
imgplot = plt.imshow(img)
plt.show()
Result:
answered Nov 20 '18 at 19:28
runcoderunruncoderun
37437
add a comment |
You can save the visualized tree to a file and then show it with pyplot.
Example:
import matplotlib.pyplot as plt
import pydotplus
import matplotlib.image as mpimg
import io
from sklearn.externals.six import StringIO
from sklearn.tree import export_graphviz
dot_data = io.StringIO()
export_graphviz(clf, out_file=dot_data, rounded=True, filled=True)
filename = "tree.png"
pydotplus.graph_from_dot_data(dot_data.getvalue()).write_png(filename)
plt.figure(figsize=(12,12))
img = mpimg.imread(filename)
imgplot = plt.imshow(img)
plt.show()
Result:
answered Nov 20 '18 at 19:28
runcoderunruncoderun
37437
You can save the visualized tree to a file and then show it with pyplot.
Example:
import matplotlib.pyplot as plt
import pydotplus
import matplotlib.image as mpimg
import io
from sklearn.externals.six import StringIO
from sklearn.tree import export_graphviz
dot_data = io.StringIO()
export_graphviz(clf, out_file=dot_data, rounded=True, filled=True)
filename = "tree.png"
pydotplus.graph_from_dot_data(dot_data.getvalue()).write_png(filename)
plt.figure(figsize=(12,12))
img = mpimg.imread(filename)
imgplot = plt.imshow(img)
plt.show()
Result:
answered Nov 20 '18 at 19:28
runcoderunruncoderun
37437
edited Nov 21 '18 at 1:19
answered Nov 20 '18 at 19:28
runcoderunruncoderun
37437
answered Nov 20 '18 at 19:28
runcoderunruncoderun
37437
answered Nov 20 '18 at 19:28
runcoderunruncoderun
37437
37437
add a comment |
add a comment |
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