pandas - Change 1 point color in scatter plot regardless of color palette in seaborn matplotlib -


i have pandas data frame df

name value id 0.2 x b 0.4 x c 0.5 x d 0.8 x ... z 0.3 x

i color points 'name' column specifying hue='name' specify color 1 point: b.

how specify color 1 point only, , have "hue" command take care of rest (where each point a-z has unique color)?

right command plot, hue name.

plot = sns.stripplot(x="id", y="value", hue="name", data=df, jitter=true, c=df['name'], s=7, linewidth=1)

you can replace 1 color in palette converting list of colors , replace 1 of colors other color of liking.

import pandas pd import numpy np;np.random.seed(42) import matplotlib.pyplot plt import seaborn sns  letters = list(map(chr, range(ord('a'), ord('z')+1))) df = pd.dataframe({"name" : letters,                     "value": np.sort(np.random.rand(len(letters)))[::-1],                    "id" : ["x"]*len(letters)})  special_letter = "b" special_color = "indigo"  levels = df["name"].unique() colors = sns.color_palette("hls", len(levels)) inx = list(levels).index(special_letter) colors[inx] = special_color  ax = sns.stripplot(x="id", y="value", hue="name", data=df,                       jitter=true,  s=7, palette=colors)  ax.legend(ncol=3, bbox_to_anchor=(1.05,1), loc=2) ax.figure.subplots_adjust(right=0.6) plt.show()

enter image description here

instead of providing palette directly, 1 may (thanks @mwaskom pointing out) use dictionary of (hue name, color) pairs:

levels = df["name"].unique() colors = sns.color_palette("hls", len(levels)) colors = dict(zip(levels, colors)) colors[special_letter] = special_color

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