Category "seaborn"

Connecting means in seaborn box plot

I want to connect box plot means. I can do the basic part but cannot connect box plot means and box plots offset from x axis. similar post but not connecting me

Subplot for seaborn boxplot

I have a dataframe like this import seaborn as sns import pandas as pd %pylab inline df = pd.DataFrame({'a' :['one','one','two','two','one','two','one','one','

How to get the numerical fitting results when plotting a regression in seaborn?

If I use the seaborn library in Python to plot the result of a linear regression, is there a way to find out the numerical results of the regression? For exampl

How to rank plot in seaborn boxplot

Take the following seaborn boxplot for example, from https://stanford.edu/~mwaskom/software/seaborn/examples/horizontal_boxplot.html import numpy as np import

Labeling boxplot in seaborn with median value

How can I label each boxplot in a seaborn plot with the median value? E.g. import seaborn as sns sns.set_style("whitegrid") tips = sns.load_dataset("tips") ax

Exception thrown in PyCharm debug mode but not in run mode (seaborn, matplotlib)

I'm using PyCharm 2021.2.3 Community Edition Python interpreter 3.10.0 matplotlib 3.5.0 seaborn 0.11.2 numpy 1.21.4 pandas 1.3.4 PySimpleGUI 4.55.1 When I run t

How to show the y-axis of seaborn displot as percentage

I'm using seaborn.displot to display a distribution of scores for a group of participants. Is it possible to have the y axis show an actual percentage (example