seaborn scatterplot marker size for ALL markers

python matplotlib seaborn
DataMan picture DataMan · Oct 12, 2018 · Viewed 47.4k times · Source

I can't find out anywhere how to change the marker size on seaborn scatterplots. There is a size option listed in the documentation but it is only for when you want variable size across points. I want the same size for all points but larger than the default!

I tried making a new column of integers in my dataframe and set that as the size, but it looks like the actual value doesn't matter, it changes the marker size on a relative basis, so in this case all the markers were still the same size as the default.

Edit: here's some code

ax = sns.scatterplot(x="Data Set Description", y="R Squared", data=mean_df)
plt.show()

I just tried something and it worked, not sure if it's the best method though. I added size=[1, 1, 1, 1, 1, 1] and sizes=(500, 500). So essentially I'm setting all sizes to be the same, and the range of sizes to be only at 500.

Answer

Xiaoyu Lu picture Xiaoyu Lu · Oct 12, 2018

You can do so by giving a value to the s argument to change the marker size.

Example:

ax = sns.scatterplot(x="Data Set Description", y="R Squared", data=mean_df, s=10)

Related questions

Label axes on Seaborn Barplot

I'm trying to use my own labels for a Seaborn barplot with the following code: import pandas as pd import seaborn as sns fake = pd.DataFrame({'cat': ['red', 'green', 'blue'], 'val': [1, 2, 3]}) fig = sns.barplot(x = 'val', y = 'cat', data = fake, …

Read More
How to save a Seaborn plot into a file

I tried the following code (test_seaborn.py): import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt matplotlib.style.use('ggplot') import seaborn as sns sns.set() df = sns.load_dataset('iris') sns_plot = sns.pairplot(df, hue='species', …

Read More
Seaborn plots not showing up

I'm sure I'm forgetting something very simple, but I cannot get certain plots to work with Seaborn. If I do: import seaborn as sns Then any plots that I create as usual with matplotlib get the Seaborn styling (with the …

Read More