I have a scatterplot that should show the changes in bond lengths depending on temperature. I wanted to give each temperature a specific color, but it doesn't seem to work - plot uses the default seaborn palette. Is there a way to map temperature to color, and make seaborn use it?
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
palette = ["#090364", "#091e75", "#093885", "#085396", "#086da6",
"#0888b7", "#08a2c7", "#07bdd8", "#07d7e8", "#07f2f9",
"#f9ac07", "#c77406", "#963b04", "#640303"]
sns.set_style("whitegrid")
sns.set_palette(palette)
plot = sns.scatterplot(df.loc[:,'length'],
df.loc[:,'type'],
hue = df.loc[:,'temperature'],
legend = False,
s = 200)
I figured it out. You had to paste the number of colors into the palette:
sns.set_style("whitegrid")
plot = sns.scatterplot(df.loc[:,'length'],
df.loc[:,'type'],
hue = df.loc[:,'temperature'],
palette=sns.color_palette(palette, len(palette)),
legend = False,
s = 200)