Top "Seaborn" questions

Seaborn is a Python visualization library based on matplotlib.

Seaborn Heatmap Colorbar Label as Percentage

Given this heat map: import numpy as np; np.random.seed(0) import seaborn as sns; sns.set() uniform_data = np.…

python-3.x heatmap seaborn
Process pandas dataframe into violinplot

I have data I'm reading from an Excel spreadsheet. The data has a number of observations for each of six …

python pandas matplotlib seaborn violin-plot
How to plot a time series array, with confidence intervals displayed, in python?

I have some time series which slowly increases, but over a short period of time they are very wavy. For …

python matplotlib plot seaborn confidence-interval
Extracting clusters from seaborn clustermap

I am using the seaborn clustermap to create clusters and visually it works great (this example produces very similar results). …

python cluster-analysis hierarchical-clustering seaborn dendrogram
Quantile-Quantile Plot using Seaborn and SciPy

Can anyone give me a way to do a qq plot in Seaborn as a test for normality of data? …

python-3.x matplotlib scipy seaborn normal-distribution
Python Seaborn jointplot does not show the correlation coefficient and p-value on the chart

I'm trying to plot jointplot with below and from samples I saw it should show the correlation coefficient and p-value …

python matplotlib seaborn
Extract RGB or 6 digit code from Seaborn palette

Seaborn has an option to create nice color palettes. I wish to use these palettes to generate colors that work …

python rgb seaborn
Data order in seaborn heatmap from pivot

So I have a heatmap created using seaborn revels = rd.pivot("Flavour", "Packet number", "Contents") ax = sns.heatmap(revels, annot=…

python pandas matplotlib heatmap seaborn
Matplotlib box plot fliers not showing

I was wondering if anyone had an issue with Matplotlib's box plot fliers not showing? I literally copy-pasted this example …

python matplotlib boxplot seaborn
Limit the range of x in seaborn distplot KDE estimation

Suppose we have an array with numbers between 0 and 1: arr=np.array([ 0. , 0. , 0. , 0. , 0.6934264 , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0.6934264 , 0. , 0.6934264 , 0. , 0. , 0. , 0. , 0.251463 , 0. , 0. , 0. , 0.87104906, 0.251463 , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0.48419626, 0. , 0. , 0. , 0. , 0. , 0.87104906, 0. , 0. , 0.251463 , 0.48419626, 0. , 0.251463 , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0.251463 , 0. , 0.35524532, 0. , 0. , 0. , 0. , 0. , 0.251463 , 0.251463 , 0. , 0.74209813, 0. , 0. ]) Using seaborn, I want to plot a distribution …

python seaborn kernel-density