Seaborn draws histogram

import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib as mpl
import matplotlib.pyplot as plt

df1=pd.read_excel('E:/CW/df.xlsx',sheetname=0)
df2=pd.read_excel('E:/CW/df.xlsx',sheetname=1)
df3=pd.read_excel('E:/CW/df.xlsx',sheetname=2)

df1_mat=df1[:24].as_matrix()

df2_mat=df2[:24].as_matrix()
df3_mat=df3[:24].as_matrix()

a=[]
b=[]
c=[]

for i in range(24):
    for j in range(9):
        a.append(df1_mat[i][j])
        b.append(df2_mat[i][j])
        c.append(df3_mat[i][j])

ax1 = sns.distplot(a, rug=True, hist=True)
ax1.set_title('Humidity deviation distribution diagram at t=20 degrees Celsius ')
ax1.set_xlabel('Humidity deviationn')
ax1.set_ylabel('Probability')
plt.show()
ax2 = sns.distplot(b, rug=True, hist=True)
ax2.set_title('Humidity error distribution diagram at t=0 degrees Celsius ')
ax2.set_xlabel('Humidity deviationn')
ax2.set_ylabel('Probability')
plt.show()
ax3 = sns.distplot(c, rug=True, hist=True)
ax3.set_title('Humidity error distribution diagram at t=-30 degrees Celsius ')
ax3.set_xlabel('Humidity deviationn')
ax3.set_ylabel('Probability')
plt.show()

png](output_6_2.png)