Highlight a single point with a marker in lineplot

Question

I would like to highlithgt a single point on my lineplot graph using a marker. So far I managed to create my plot and insert the highlight where I wanted.

The problem is that I have 4 differents lineplot (4 different categorical attributes) and I get the marker placed on every sigle lineplot like in the following image:

I would like to place the marker only on the 2020 line (the purple one). This is my code so far:

import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.ticker as plticker
import seaborn as sns
import numpy as np
import matplotlib.gridspec as gridspec

fig = plt.figure(figsize=(15,10))
gs0 = gridspec.GridSpec(2,2, figure=fig, hspace=0.2)

ax1 = fig.add_subplot(gs0[0,:]) # lineplot
ax2 = fig.add_subplot(gs0[1,0]) #Used for another plot not shown here
ax3 = fig.add_subplot(gs0[1,1]) #Used for another plot not shown here

flatui = ["#636EFA", "#EF553B", "#00CC96", "#AB63FA"]

sns.lineplot(ax=ax1,x="number of weeks", y="avg streams", hue="year", data=df, palette=flatui, marker = 'o', markersize=20, fillstyle='none', markeredgewidth=1.5, markeredgecolor='black', markevery=[5])

ax1.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, pos: '{:,.0f}'.format(x/1000) + 'K'))

ax1.set(title='Streams trend')
ax1.xaxis.set_major_locator(ticker.MultipleLocator(2))

I used the markevery field to place a marker in position 5. Is there a way to specify also on which line/category place my marker?

EDIT: This is my dataframe:

    avg streams date    year    number of weeks
0   145502.475  01-06   2017    0
1   158424.445  01-13   2017    1
2   166912.255  01-20   2017    2
3   169132.215  01-27   2017    3
4   181889.905  02-03   2017    4
... ... ... ... ...
181 760505.945  06-26   2020    25
182 713891.695  07-03   2020    26
183 700764.875  07-10   2020    27
184 753817.945  07-17   2020    28
185 717685.125  07-24   2020    29

186 rows × 4 columns

Unrelated but you use plot = sns.lineplot(...) when in reality plot == ax1 does not need to be saved. — Guimoute
– Guimoute, Commented Aug 29, 2020 at 13:40
@Guimoute Fixed, it was "spurious" code derived from copy-paste. — Mattia Surricchio
– Mattia Surricchio, Commented Aug 29, 2020 at 13:45
Please don't post images of code, data, or Tracebacks. Copy and paste it as text then format it as code (select it and type ctrl-k) ... Discourage screenshots of code and/or errors — wwii
– wwii, Commented Aug 29, 2020 at 13:46

marcin · Accepted Answer · 2022-08-19 19:26:47Z

markevery is a Line2D property. sns.lineplot doesn't return the lines so you need to get the line you want to annotate from the Axes. Remove all the marker parameters from the lineplot call and add ...

lines = ax1.get_lines()

If the 2020 line/data is the fourth in the series,

line = lines[3]
line.set_marker('o')
line.set_markersize(20)
line.set_markevery([5])
line.set_fillstyle('none')
line.set_markeredgewidth(1.5)
line.set_markeredgecolor('black')

# or
props = {'marker':'o','markersize':20, 'fillstyle':'none','markeredgewidth':1.5,
         'markeredgecolor':'black','markevery': [5]}
line.set(**props)

Another option, inspired by Quang Hoang's comment would be to add a circle around/at the point deriving the point from the DataFrame.

x = 5    # your spec
wk = df['number of weeks']==5
yr = df['year']==2020
s = df[wk & yr]
y = s['avg streams'].to_numpy()
# or 
y = df.loc[(df['year']==2020) & (df['number of weeks']==5),'avg streams'].to_numpy()

ax1.plot(x,y, 'ko', markersize=20, fillstyle='none', markeredgewidth=1.5)

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