How to normalize histograms in joinplot margins Question: How can I normalize the histograms in sns.jointplot? Right now I’m getting this plot However, instead of showing 0, 200, 400 on the axis, I would like it to be a fraction of the total number of the dataset This is my code: import numpy as np …
How to move or remove the legend from a seaborn JointGrid or jointplot Question: How to remove the legend in the seaborn.JoingGrid plot? The reference code is like below: import matplotlib.pyplot as plt import seaborn as sns penguins = sns.load_dataset("penguins") g = sns.JointGrid(data=penguins, x="bill_length_mm", y="bill_depth_mm", hue="species") g.plot_joint(sns.scatterplot) sns.boxplot(data=penguins, x=g.hue, y=g.y, ax=g.ax_marg_y) sns.boxplot(data=penguins, y=g.hue, x=g.x, ax=g.ax_marg_x) …
Set edgecolor on seaborn jointplot Question: I am able to set edgecolors for a seaborn histogram by passing in a hist_kws argument: sns.distplot(ad_data["Age"], kde = False, bins = 35, hist_kws = {"ec":"black"}) However, I’m unable to similarly set edgecolors for the histograms in a seaborn jointplot. It doesn’t accept a hist_kws argument or any other …
Relabelling ticks on Seaborn axes? Question: I’m doing a log-log plot with Seaborn; the data is actually derived from a StackOverflow developer survey. I tried using the built-in log scale, but the results didn’t make sense, so this simply calculates the logs before plotting. df = pd.DataFrame( {‘company_size_range’: {7800: 7.0, 7801: 700.0, 7802: 7.0, 7803: …
How to show the vertical scale of marginal histogram in a jointplot Question: In Seaborn jointplot, the marginal histograms do not show the y axis values. How can I get these values? The documentation doesn’t show any arguments to change this behavior. Asked By: Tomoon || Source Answers: You’re going to have to work more …
How to add a colorbar to kdeplot and jointplot Question: When generating bivariate plots like hexbin, pandas generates a legend explaining frequency value for each color shade: pokemon.plot.hexbin(x=’HP’, y=’Attack’, gridsize=30) I cannot find a similar way to generate such a legend for jointplot and kdeplot in seaborn: sns.jointplot(data=pokemon, x=’HP’, y=’Attack’, kind=’hex’) sns.kdeplot(pokemon[‘HP’], pokemon[‘Attack’], shade=True) How …
How to set the line style for each kdeplot in a jointgrid Question: I am using seaborn to create a kdeplot with marginal distribution as described in this answer. I adapted the code a little to give me this: import matplotlib.pyplot as plt import seaborn as sns iris = sns.load_dataset(“iris”) setosa = iris.loc[iris.species == “setosa”] …
How to log scale in seaborn Question: I’m using seaborn to plot some biology data. I want a distribution of one gene against another (expression in ~300 patients), and the following code works fine. graph = sns.jointplot(x=’Gene1′, y=’Gene2′, data=data, kind=’reg’) I like that the graph gives me a nice linear fit and a PearsonR and …
Seaborn jointplot joint density level / color scale adjustment Question: I can show you better than I can explain: I use seaborn to draw a jointplot of two time series, but I would like to change the scale of the density so that more of the joint distributions would be visible. This is what comes …
How to overlay a Seaborn jointplot with a "marginal" (distribution histogram) from a different dataset Question: I have plotted a Seaborn JointPlot from a set of "observed counts vs concentration" which are stored in a pandas DataFrame. I would like to overlay (on the same set of axes) a marginal (ie: univariate distribution) of the …
