Compare histograms of different data series by creating bar charts and adding some descriptive statistics to the figure

histograms_comparison.py

import pandas as pd
df = pd.read_csv('test_FSCar_ddMMYYYY_TrackN_setupID2.csv')

# Get statistics
meanFL = df.trq_NmFL.mean()
meanFR = df.trq_NmFR.mean()
meanRL = df.trq_NmRL.mean()
meanRR = df.trq_NmRR.mean()

stdFL = df.trq_NmFL.std()
stdFR = df.trq_NmFR.std()
stdRL = df.trq_NmRL.std()
stdRR = df.trq_NmRR.std()

# Prepare text to display
txt = (
    f"mean FL = {meanFL:.1f} Nm\n"
    f"mean FR = {meanFR:.1f} Nm\n" 
    f"mean RL = {meanRL:.1f} Nm\n"
    f"mean RR = {meanRR:.1f} Nm\n\n"
    f"stdev FL = {stdFL:.1f} Nm\n"
    f"stdev FR = {stdFR:.1f} Nm\n"
    f"stdev RL = {stdRL:.1f} Nm\n"
    f"stdev RR = {stdRR:.1f} Nm\n")
    
# Create figure
fig = plt.figure(figsize = (2550/600, 1500/600), dpi=600)
ax = fig.add_subplot()
plt.hist([df.trq_NmFL, df.trq_NmFR, df.trq_NmRL, df.trq_NmRR], 
            bins = 15, 
            label = ['trq_NmFL', 'trq_NmFR', 'trq_NmRL', 'trq_NmRR'] ,
            rwidth=0.7,
            edgecolor='black', linewidth=.5)

# Format
plt.suptitle('Histogram with Python')
plt.xlabel('Torque [Nm]', fontsize = 8)
plt.xticks(fontsize = 8)

plt.ylabel('Counts', fontsize = 8)
plt.yticks(fontsize = 8)

plt.grid(b=True, which='both', color='k', linestyle='--', alpha=0.2)
plt.legend(loc='upper right', fontsize = 4)

# Add text and display figure               
ax.text(100, 25000, txt, fontsize=5)
fig.show()