I'm trying to plot a bar style "factorplot" for some data, then plot a regular point style "factorplot" for my fit of that data on top of it. So for the data plot I can simply do :
sns.factorplot(x='x',y='yData',data=dataFrame,kind='bar')
And for the model plot I can simply do :
sns.factorplot(x='x',y='yModel',data=dataFrame,kind='point')
The problem is that if I then do :
sns.plt.show()
I get 2 separate figures instead of just one. Is there any simple way to tell seaborn to just plot them on the same graph ?
As mentioned in the comments, this answer explains the basic architecture that accounts for why you see that behavior (two different figures), but it's possible to give a more specific answer to your question:
The tutorial explains that factorplot
is mostly a convenience function that combines FacetGrid
with a number of Axes-level functions for drawing categorical plots that share an API. Since you aren't using the faceting options of factorplot
, all you need to do is replace sns.factorplot(..., kind="bar")
with sns.barplot(...)
and sns.factorplot(..., kind="point")
with sns.pointplot(...)
.
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