how to combine two bar chart of two files in one diagram in matplotlib pandas

Question

I have two dataframe with the same columns but different content. I have plotted dffinal data frame. now I want to plot another dataframe dffinal_no on

Answer 1

to compare two data frame result with bar plot one way you could try is concatenating two data frames and adding hue. For example consider below df it contains same x and y columns in both df's and wanna compare this values. to achieve this simply add hue column for each df with differentiating constant like below.

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
df1=pd.DataFrame({'x':[1,2,3,4,5],'y':[10,2,454,121,34]})
df2=pd.DataFrame({'x':[4,1,2,5,3],'y':[54,12,65,12,8]})
df1['hue']=1
df2['hue']=2
res=pd.concat([df1,df2])
sns.barplot(x='x',y='y',data=res,hue='hue')
plt.show()

The result should looks like below:

To get two y-axis try this method,

fig = plt.figure()
ax1 = fig.add_subplot(111)
ax2 = ax1.twinx()

ax1.set_ylabel('final-formula')
ax2.set_ylabel('numPatients6month')

width=0.4

df1=df1.set_index('x').sort_index()
df2=df2.set_index('x').sort_index()

df1['y'].plot(kind='bar',color='blue',ax=ax1,width=width,position=1)
df2['y'].plot(kind='bar',color='green',ax=ax2,width=width,position=0)
plt.show()

with actual input:

fig = plt.figure()

ax1 = fig.add_subplot(111)
ax2 = ax1.twinx()

ax1.set_ylabel('final-formula')
ax2.set_ylabel('numPatients6month')


width=0.4

df1=df1.set_index('6month').sort_index()
df2=df2.set_index('6month').sort_index()

df1['final-formula'].plot(kind='bar',color='blue',ax=ax1,width=width,position=1)
df2['numPatients6month'].plot(kind='bar',color='green',ax=ax2,width=width,position=0)
plt.show()