I would like to show some values in a Seaborn box plot such as Total# observations, Mean, Mix/Max value for each box plot series. Is there a way to show these in the plot?

My data consists of several nested categories, for each category I am able to generate a stacked density plot such as the one illustrated here

I have a simple plot, to which I’ve added lines as below:

I am trying to combine two timeseries graphs. One is a boxplot and one is a line. The same x axis would be used for the both and the left y-axis is called “Midday Stem Water Potential” and the right y-axis is called “Cumulative Applied Irrigation”. They both graph fine on their own (see examples) but am having issues with the x-axis when they are combined. The boxplot seems to get smashed and the x axis no longer starts on 4/1/24. Any ideas?

I am having this strange problem where I am getting changing axes scales in my seaborn heatmap. As seen in the image below, the scale starts off normal then all of a sudden starts spreading the points out making my plot look very sparse. This should all look like a T shape with a very wide top

I would like to plot a smaller chart over a large chart in matplotlib in order to maximize the screen / page real estate available.

I am trying to determine how to change the default categorical xtick labels in a seaborn box plot. Note that I do not want to change the column names in the data frame.

I have an application that generates a seaborn plot and then I need to add some additional data to that plot at a later time. If I show the plot after the initial data is plotted I cannot get it to update. Below is a simplified example reproducing the issue.

Trying to combine two pivot tables, and create stacked bar plot for total and last week additions.

I have a quick question regarding the seaborn objects interface. I am trying to simply generate a dodged bar plot with a log scaled y-axis. The bar plot renders without any problem, but as soon as I pass .scale(y="log") to the Plot object I get the error Ill-defined clip_path detected and instead of a bar, only a line is plotted. Plotting via the classic interface works fine.