How can I overlay two graphs in Seaborn?
How can I overlay two graphs in Seaborn? I have two columns in my data I would like to have them in the same graph. How can I do it preserving the labeling for both graphs.
How can I overlay two graphs in Seaborn? I have two columns in my data I would like to have them in the same graph. How can I do it preserving the labeling for both graphs.
I’m sure I’m forgetting something very simple, but I cannot get certain plots to work with Seaborn.
I’m plotting two datasets with different units on the y-axis. Is there a way to make the ticks and gridlines aligned on both y-axes?
I have a dataframe that looks like this:
Note added in 2019: In modern seaborn versions the size argument has been renamed to height.
I am trying to use seaborn, because of its distplot function. But I prefer the default matplotlib settings. When I import seaborn, it changes automatically the appearance of my figure.
The goal here is to create a grouped bar plot, not subplots like the image below
While doing some practice problems using seaborn and a Jupyter notebook, I realized that the distplot() graphs did not have the darker outlines on the individual bins that all of the sample graphs in the documentation have. I tried creating the graphs using Pycharm and noticed the same thing. Thinking it was a seaborn problem, I tried some hist() charts using matplotlib, only to get the same results.
I am working with the FacetGrid example presented here that results in the plot below. In my data set, there is quite a lot of plots, and it would be convenient to have the x axis labels repeated for each facet, not only at the bottom.
I have created a nested boxplot with an overlayed stripplot using the Seaborn package. I have seen answers on stackoverflow regarding how to edit box properties both for individual boxes and for all boxes using ax.artists generated by sns.boxplot.