color_palette

A solution to this problem was provided here. However, for a more recent version of seaborn (0.11.2), it doesn't work, instead yielding a scatter plot in a single color.

Here is the previously proposed solution:

I am trying to plot data from pandas data frame with python using Seaborn (and Matplotlib). I have the dates set as the index values in the dataframe starting at 2016-02-03 and ending at the current date. The values are of type datetime (not strings). No matter what I try, when I plot a graph of the data I have, it is changing the dates and going all the way back to 1970 instead of the dates that I have. Would appreciate any help.

I am using seaborn and and t-SNE to visualise class separability/overlap and in my dataset containing five classes. My plot is thus a 2x2 subplots. I used the following function which generates the figure below.

I want to create a plot of a confusion matrix with True/False Positive/Negative.

The goal is to have the numbers in the range [0.0, 1.0], and for True Negative/Positive, the color scale be red->green, and for the False Negative/Positive for it to be green->red. I have not found anything in the seaborn documentation to do so, is it even possible? It would allow a quick glance over the data, and anything red would be a problem.

The goal would be left top and bottom right cells have a different color map than left bottom and right top. Is this possible?

Example code:

I was trying to plot an area graph with these values.

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'm using this kaggle dataset to perform my data analysis. I converted 'course_students_enrolled' column values to integers. When I plot courses with highest numbers of students, I get a figure where bar labels that represent values above 1M appear written in formula like 1.3e+06 instead of showing the full number. Same goes with the number above the chart. This is my code of the plot:

I am building a barplot using seaborn and have most of the items addressed. But I'm running into an issue with the first and last items in the plot. In the attached screenshot you can see that the first and last bar are at the edge of the figure when I want there to be space between the edge and bar.

Here is the code that is creating the graph

I have a dataframe like so: