import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
plt.rcParams['axes.grid'] = True
fig,ax=plt.subplots(3,2,figsize=(10,6))
df1=pd.read_csv(r"D:\Users\abc\cov60.csv")
df2=pd.read_csv(r"D:\Users\abc\cov75.csv")
df3=pd.read_csv(r"D:\Users\abc\cov85.csv")
df4=pd.read_csv(r"D:\Users\abc\cov95.csv")
ax[0,0].scatter(df1["xy"],df1["yx"],color="black")
ax[1,0].scatter(df2["xy"],df2["yx"],color="gold")
ax[1,1].scatter(df3["xy"],df3["yx"],color="blue")
ax[2,1].scatter(df4["xy"],df4["yx"],color="maroon")
ax[0,1].axis("off")
ax[2,0].axis("off")



xticks=np.linspace(60,100,3)
yticks=np.linspace(25,100,4)

###the reason of using linspace is we can easily set the range, for xticks we want 60 80 100 , so range from 80 to 100 and 3 numbers###

ax[0,0].set_xticks(xticks)
ax[0,0].set_yticks(yticks)
ax[1,0].set_xticks(xticks)
ax[1,0].set_yticks(yticks)
ax[1,1].set_xticks(xticks)
ax[1,1].set_yticks(yticks)
ax[2,1].set_xticks(xticks)
ax[2,1].set_yticks(yticks)

###comment this out and see what happened to yaxis###
yticks1= ax[0,0].yaxis.get_major_ticks()
yticks1[0].label.set_visible(False)
yticks2= ax[1,0].yaxis.get_major_ticks()
yticks2[0].label.set_visible(False)
yticks3= ax[1,1].yaxis.get_major_ticks()
yticks3[0].label.set_visible(False)
yticks4= ax[2,1].yaxis.get_major_ticks()
yticks4[0].label.set_visible(False)