File: different_scatter_variables.py

package info (click to toggle)
seaborn 0.13.2-5
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 6,608 kB
  • sloc: python: 37,241; makefile: 182; javascript: 45; sh: 15
file content (25 lines) | stat: -rw-r--r-- 769 bytes parent folder | download | duplicates (3)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
"""
Scatterplot with multiple semantics
===================================

_thumb: .45, .5

"""
import seaborn as sns
import matplotlib.pyplot as plt
sns.set_theme(style="whitegrid")

# Load the example diamonds dataset
diamonds = sns.load_dataset("diamonds")

# Draw a scatter plot while assigning point colors and sizes to different
# variables in the dataset
f, ax = plt.subplots(figsize=(6.5, 6.5))
sns.despine(f, left=True, bottom=True)
clarity_ranking = ["I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF"]
sns.scatterplot(x="carat", y="price",
                hue="clarity", size="depth",
                palette="ch:r=-.2,d=.3_r",
                hue_order=clarity_ranking,
                sizes=(1, 8), linewidth=0,
                data=diamonds, ax=ax)