For example, I have a dataframe: data = {'1': [1, 1, 2,2,2,2,2, 3,2.5,2.5,1.5,2,2.5,2, 2, 3,1.5,2], '2': [1,1,1,1,1,1,1,1,1,1,1,1,1,1,0, 0,0,0], }
I have a large pandas dataframe, which is a log of user ids that login in a website: id datetime 130 2018-05-17 19:46:18 133 2018-05-17 20:5
I'm trying to get a pairplot of my data using seaborn. I want to set the legend outside of the axes because my other plots might have upto 9 features which make
I am working with niftis (Neuroimaging format) looking at 3D volumes of the brain. I want to compare experiments with brain activity. Therefore I have about 2
I've spent hours on trying to do what I thought was a simple task, which is to add labels onto an XY plot while using seaborn. Here's my code import seaborn a
I'm using factorplot(kind="bar"). How do I scale the y-axis, for example with log-scale? I tried tinkering with the plots' axes, but that always messed up the b
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
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','
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
Take the following seaborn boxplot for example, from https://stanford.edu/~mwaskom/software/seaborn/examples/horizontal_boxplot.html import numpy as np import
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
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
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