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I'm trying to create a categorical plot in which the size of each marker reflects some magnitude of the corresponding sample, as in the following example using the preloaded tips data(upper plot https://i.stack.imgur.com/pRn0x.png):

import seaborn as sns

sns.set(style="whitegrid")
tips = sns.load_dataset("tips")
 ax = sns.stripplot("day", "total_bill", data=tips, palette="Set2", size=tips["size"]*5, edgecolor="gray", alpha=.25)

But when I try the same with my own data, all the markers have the same size (lower plot https://i.stack.imgur.com/pRn0x.png):

import seaborn as sns
import pandas as pd

df = pd.read_csv("python_plot_test3.csv")
sns.set(style="whitegrid")
ax = sns.stripplot("log10p_value","term_name",  data=df, palette="Set2", size=df['precision'], edgecolor="gray", alpha=.50)

I suspected the datatypes were not the same, but it didn't seem so,
although, when I print df['precision'] it returns name and dtype
and when I print tips["size"] it also returns its length. Could someone give me a hint? I found how to change it in scatter plots, but nothing on categorical plots.

my data data:

term_name,log10p_value,precision
muscle structure development,33.34122617,15
anatomical structure morphogenesis,32.91330177,5
muscle system process,31.61813233,11
regulation of multicellular organismal process,30.84862451,25
system development,29.16494157,36
muscle cell differentiation,28.79114555,11

Dimitrius Santiago
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1 Answers1

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Okay, so looks like relplot is the right kind of function for this, at first I guessed it was specific for continuous data, but it also can handle categorized data. Although, I still don't understand why stripplot worked with the example data.

Dimitrius Santiago
  • 33
  • 3