How to apply markers only to specific data in matplotlib

Introduction

In When graphing the publication order of magazines, I wanted to add markers (dots to the graph) only to specific items with matplotlib (center). I wanted to put a mark so that it would be easy to understand only when it was in color), but I did not find it at all when I searched for it, so make a note. max_2020.png ↑ I wanted to apply a marker only at a specific value to emphasize it like this.

environment

$ uname -a                                                                                                                              
Linux kali 4.18.0-kali2-amd64 #1 SMP Debian 4.18.10-2kali1 (2018-10-09) x86_64 GNU/Linux

$ python3 --version                                                                                                                             
Python 3.7.6

$ pip3 show matplotlib                                                                                                                         
Name: matplotlib
Version: 3.1.2

problem

For example, suppose you have the following data.

month January February March April May June July August September October 1January 1February
data 13 15 21 5 10 18 21 17 15 16 21 13

This is a graph of these. before.png

What if you want to mark only the January, April, July, and October data in this graph with diamonds (and not others)?

Solution

When plotting only the part to be marked as an array, pass it with `` mark every appropriately. If you want to add the Xth marker, add the X-1st number to the array.

Like this.

#!/usr/bin/env python 
import matplotlib.pyplot as plt
 
X_data=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
Y_data=[13,15,21,5,10,18,21,17,15,16,21,13]
month_name=['Jan.','Feb.','Mar.','Apr.','May','Jun.','Jul.','Aug.','Sep.','Oct.','Nov.','Dec.']
mark_point=[0,3,6,9]

plt.xlabel('month')
plt.ylabel('data')

plt.grid(color='gray')
plt.xticks(X_data,month_name)
plt.yticks(range(1,max(Y_data)+1))
plt.plot(X_data,Y_data, '.', linestyle='solid', marker="D", markevery=mark_point)
plt.show()

Results markeevery1.png

If you want to use the y-axis data as a reference, you can compare the data first and store it in the array. Example) Apply markers only when the data is odd

#!/usr/bin/env python 
import matplotlib.pyplot as plt
 
X_data=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
Y_data=[13,15,21,5,10,18,21,17,15,16,21,13]
month_name=['Jan.','Feb.','Mar.','Apr.','May','Jun.','Jul.','Aug.','Sep.','Oct.','Nov.','Dec.']
mark_point=[]

for i,data in enumerate(Y_data):
    if data%2:
        mark_point.append(i)

plt.xlabel('month')
plt.ylabel('data')

plt.grid(color='gray')
plt.xticks(X_data,month_name)
plt.yticks(range(1,max(Y_data)+1))
plt.plot(X_data,Y_data, '.', linestyle='solid', marker="D", markevery=mark_point)
plt.show()

Results markeevery2.png

case being settled.

References

Markevery Demo — Matplotlib 3.1.2 documentation

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