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I want to change the color of a bar in matplotlib's grouped barplot if it meets a certain condition. I'm plotting two bars for each species - one for today and one for avg, where avg contains yerr errorbars that show the 10th and 90th percentile values.

Now I want the avg bar to be green if today's length value > 10th percentile, and red if today's length value < 10th percentile.

I tried the solutions in these posts

• how to change the color of a single bar if condition is True matplotlib
• Update Single Bar in Matplotlib

but the bars are always green.

I want to plot a bar chart on seaborn and include custom errorbars. My MWE is

Goal: Given a seaborn catplot (kind="bar") with multiple rows, grouped bars, and a mapped stripplot, how do I add statistical annotations (p-values).

The following code from @Trenton McKinney generates my figure without statistical annotation. I would like to insert statistical annotation into this figure:

I wanted to extract the number of specific values from the columns - (I s a x) etc, so as I extracted I got stack that my chart doesn't want to read that.

Hi I'm trying to plot a pointplot and scatterplot on one graph with the same dataset so I can see the individual points that make up the pointplot.

Here is the code I am using:

I have created an errorbar plot in matplotlib with the mean and confidence intervals of each bin. Now, I am trying to add a text label above each errorbar that states the number of observations in each bin. So far I have:

I have a feature where I am attempting to copy a very large CSV file into my database. I am using the pg gem to do so very quickly as explained in this article here POSTGRESQL COPY.

In my schema.rb, I have unique constraints on a model so there are times during the upload process, I'll encounter a PG::UniqueViolation constraint error when attempting to import a file.

What I need to do is I need to be able to capture this error and once captured, write some code that will log the error and the message along with some other details. The problem I am experiencing is that I am unable to currently capture the exception of writing the data into the file. Below is the following pseudo code:

I'm using Seaborn to create bar plots in Python. I have a 2 (attention: divided vs focused) X 3 (solutions: 1,2,3) design. For divided, I want the bar colors to be darkred, darkgreen, darkblue. For focused, I want the bar colors to be red, green, blue.

This code doesn't work because the palette only applies to the hue parameter:

Code which I found here is helpful, but getting error while adding color information to avoid auto colors of bars in the grouped sub-bar. i.e getting repeated colors, if I add specific "color" inside the plt.bar(....,color). color=['black', 'red', 'green', 'blue', 'cyan','brown','grey','goldenrod','lime','violet','indigo','coral','olive'].

Where to add color details so that default colors of the grouped sub-bars and their legend will be unique as needed.