Pandas has a read_excel function that can load data from an excel
spreadsheet:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html
On Sun, Oct 6, 2019 at 1:57 AM Mike Smith wrote:
> Can I call an MSExcel cell range in a function such as model.predict(),
> instead o
You are right, changing the figure size would fix the issue (updated the
notebook). In practice, I think the issue becomes choosing a good aspect ratio
such that the
a) general proportions of the plot look ok
b) proportions of the boxes wrt the arrows look ok
It's all possible for a user to do
Thanks!
I'll double check that issue. Generally you have to set the figure size
to get good results.
We should probably add some code to set the figure size automatically
(if we create a figure?).
On 10/6/19 10:40 AM, Sebastian Raschka wrote:
Sure, I just ran an example I made with graphviz
Sure, I just ran an example I made with graphviz via plot_tree, and it looks
like there's an issue with overlapping boxes if you use class (and/or feature)
names. I made a reproducible example here so that you can take a look:
https://github.com/rasbt/bugreport/blob/master/scikit-learn/plot_tree/
On 10/4/19 11:28 PM, Sebastian Raschka wrote:
The docs show a way such that you don't need to write it as png file using
tree.plot_tree:
https://scikit-learn.org/stable/modules/tree.html#classification
I don't remember why, but I think I had problems with that in the past (I think
it didn't
Can I call an MSExcel cell range in a function such as model.predict(),
instead of typing the data in for each element?
On Sat, Oct 5, 2019 at 11:58 AM wrote:
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