Minor ticks on the y-axis are not placed as they should be. I set the minor locator to 2 so there should be 1 minor tick between each major tick but ticks on the bottom of the y-axis and none at the middle and on the top of axis.
Here is the code:
import numpy as npimport matplotlib.pyplot as pltimport pandas as pdfrom matplotlib.ticker import (AutoMinorLocator)from matplotlib.pyplot import figureminor_locator = AutoMinorLocator(n=2)#a je 2-->1a_1_2 = np.array([0,12.3787177960363,0,12.3787177960363,0,0,0,13.4102776123727,0,0,0,13.4102776123727,0,10.3155981633636,0,10.3155981633636,0,14.441837428709,0,14.441837428709,0,15.4733972450454,0,15.4733972450454,0,13.4102776123727,0,20.6311963267272,0,20.6311963267272,0,0,0,18.5680766940545,0,18.5680766940545])a_1_2[a_1_2==0] = np.nan#b je 1-->2b_1_2 = np.array([12.3787177960363,0,12.3787177960363,0,13.4102776123727,0,0,0,13.4102776123727,0,0,0,10.3155981633636,0,10.3155981633636,0,14.441837428709,0,14.441837428709,0,15.4733972450454,0,15.4733972450454,0,13.4102776123727,0,20.6311963267272,0,20.6311963267272,0,18.5680766940545,0,0,0,18.5680766940545,0])b_1_2[b_1_2==0] = np.nan#c je 2-->3c = np.array([0,0,0,0,0,13.4102776123727,0,0,0,13.4102776123727,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,18.5680766940545,0,0,0,0])c[c==0] = np.nan#d je 3-->2d = np.array([0,0,0,0,0,0,13.4102776123727,0,0,0,13.4102776123727,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,18.5680766940545,0,0,0])d[d==0] = np.nanvykon_1_2 = np.array([70,37,68,33,62,131,125,21,58,118,114,19,64,21,60,21,90,78,80,71,74,71,70,70,82,54,75,44,68,61,70,129,123,56,71,53])a_1_04 = np.array([0,16.480541444427,0,16.480541444427,0,13.7337845370225,0,13.7337845370225,0,10.987027629618,0,10.987027629618,0,0,8.24027072221352,16.480541444427,0,0,15.1071629907248,0,15.1071629907248,0,19.2272983518315,0,12.3604060833203,0,9.61364917591577])a_1_04[a_1_04==0] = np.nanb_1_04 = np.array([16.480541444427,0,16.480541444427,0,16.480541444427,0,13.7337845370225,0,13.7337845370225,0,10.987027629618,0,10.987027629618,8.24027072221352,0,0,16.480541444427,15.1071629907248,0,15.1071629907248,0,19.2272983518315,0,12.3604060833203,0,9.61364917591577,0])b_1_04[b_1_04==0] = np.nanvykon_1_04 = np.array([80,44,65,44,67,36,78,36,79,60,79,61,80,99,90,54,70,85,39,85,39,72,67,102,48,128,127])a_0_8 = np.array([0,27.8521150410817,0,27.8521150410817,0,32.4941342145953,0,32.4941342145953])a_0_8[a_0_8==0] = np.nanb_0_8 = np.array([27.8521150410817,0,27.8521150410817,0,32.4941342145953,0,32.4941342145953,0])b_0_8[b_0_8==0] = np.nanvykon_0_8 = np.array([105,100,101,97,97,95,98,94])R_a_1_2 = 1.78*a_1_2*1.2e-3/(5.04e-5)R_b_1_2 = 1.78*b_1_2*1.2e-3/(5.04e-5)R_a_1_04 = 1.78*a_1_04*1.04e-3/(5.04e-5)R_b_1_04 = 1.78*b_1_04*1.04e-3/(5.04e-5)R_a_0_8 = 1.78*a_0_8*0.8e-3/(5.04e-5)R_b_0_8 = 1.78*b_0_8*0.8e-3/(5.04e-5)a_1_2 = pd.DataFrame(a_1_2)b_1_2 = pd.DataFrame(b_1_2)c = pd.DataFrame(c)d = pd.DataFrame(d)R_a_1_2 = pd.DataFrame(R_a_1_2)R_b_1_2 = pd.DataFrame(R_b_1_2)vykon_1_2 = pd.DataFrame(vykon_1_2)a_1_04 = pd.DataFrame(a_1_04)b_1_04 = pd.DataFrame(b_1_04)R_a_1_04 = pd.DataFrame(R_a_1_04)R_b_1_04 = pd.DataFrame(R_b_1_04)vykon_1_04 = pd.DataFrame(vykon_1_04)a_0_8 = pd.DataFrame(a_0_8)b_0_8 = pd.DataFrame(b_0_8)R_a_0_8 = pd.DataFrame(R_a_0_8)R_b_0_8 = pd.DataFrame(R_b_0_8)vykon_0_8 = pd.DataFrame(vykon_0_8)data_1_2 = pd.concat([vykon_1_2, a_1_2,b_1_2,c,d], axis = 1)data_1_04 = pd.concat([vykon_1_04, a_1_04,b_1_04], axis = 1)data_0_8 = pd.concat([vykon_0_8, a_0_8,b_0_8], axis = 1)data_R_1_2 = pd.concat([vykon_1_2, R_a_1_2,R_b_1_2,], axis = 1)data_R_1_04 = pd.concat([vykon_1_04, R_a_1_04,R_b_1_04], axis = 1)data_R_0_8 = pd.concat([vykon_0_8, R_a_0_8,R_b_0_8], axis = 1)fig, ax = plt.subplots(figsize=(8,5), dpi = 100)#figure(figsize=(8,5), dpi = 100)#plt.plot(data.iloc[:,0],data.iloc[:,1],"v", color="#000000")plt.ylabel('Výkon [W]')plt.xlabel('Rychlost plynu [m/s]')ax.plot(data_1_2.iloc[:,2],data_1_2.iloc[:,0],"v", color="#000000", label = "1,2 mm průměr")ax.plot(data_1_04.iloc[:,2],data_1_04.iloc[:,0],"s", color="#ff0000", label = "1,04 mm průměr")ax.plot(data_0_8.iloc[:,2],data_0_8.iloc[:,0],"o", color="#0000ff", label = "0,8 mm průměr")ax.legend()#plt.plot(data_1_2.iloc[:,2],data_1_2.iloc[:,0])#plt.plot(data_1_2.iloc[:,3],data_1_2.iloc[:,0])#plt.xlim(10, 140)plt.yticks(np.arange(10,130+1, step=20))ax.yaxis.set_minor_locator(minor_locator)plt.xticks(np.arange(5, 35+1, step=2.5))ax.xaxis.set_minor_locator(minor_locator)plt.savefig("prechod_z_1_na_2.pdf")#ax.xaxis.set_major_locator(MultipleLocator(20))#ax.xaxis.set_minor_locator(MultipleLocator(5))and there is the result I get:
