How can each hue group of a seaborn.kdeplot, or seaborn.displot with kind='kde' be given a different linestyle? Both axes-level and figure-level options will accept a str for linestyle/ls, which ...

I am creating a histrogram (frecuency vs. count) and I want to add kernel density estimate line in a different colour. How can I do this? I want to change the colour for example sns.histplot(data=p...

import pandas as pd import seaborn as sns ser_test = pd.Series([1,0,1,4,6,0,6,5,1,3,2,5,1]) sns.kdeplot(ser_test, cumulative=True) The above code generates the following CDF graph: But when the ...

I have a distplot and I would like to plot a mean line that goes from 0 to the y value of the mean frequency. I want to do this, but have the line stop at when the distplot does. Why isn't there a ...

I was attempting to determine whether a feature is important or not base on its kde distribution for target variable. I am aware how to plot the kde plot and guess after looking at the plots, but i...

I have a problem with the colorbar of my kdeplot. It should show the percentage in each bin starting with 0%. I tried two different ways, but both visualizations are not exactly what I need. The ...

I'm trying to plot a colorbar next to my density plot with marginal axes. It does plot the colorbar, but unfortunately not on the side. That's what a tried so far: sns.jointplot(x,y, data=df3, kin...

I like the Seaborn example of multiple bivariate KDE plots, but I was hoping to use a standard matplotlib legend instead of the custom labels in that example. Here's an example where I tried to us...

Python version: 3.6.4 (Anaconda on Windows) Seaborn: 0.8.1 Matplotlib: 2.1.2 I'm trying to create a 2D Kernel Density plot using Seaborn but I want each step in the colourmap to have a different a...

Here is my effort to plot a pairgrid plot that use the kdeplot in the lower part with 2 hues: My script is: import seaborn as sns g = sns.PairGrid(df2,hue='models') g.map_upper(plt.scatter) g....

I am trying to do a Kernel Density Estimation (KDE) plot with seaborn and locate the median. The code looks something like this: import seaborn as sns import numpy as np import matplotlib.pyplot ...