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How can I draw a bar graph from three different data frames using matplotlib?

.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;

5

I want to draw a triple bar graph with three different dataframes using matplotLib

DF1

index | Number 
A | 110 
B | 22 
D | 52

DF2

index | Number
A | 100
B | 22
C | 52

DF3

index | Number 
A | 90 
B | 12 
C | 10

I am trying to use this piece of code but this is giving error as for this data needs to be from same dataframe

ax=DF1[["Number"]].DF2[["Number"]].DF3[["Number"]].plot(kind ='bar',log=True,title = "BarGraph",figsize=(15,10),legend=True,fontsize=10)
ax.set_xlabel("Index",fontsize=12)
ax.set_ylabel("Number",fontsize=12)
plt.show()

python visualization matplotlib

share|improve this question

asked Apr 6 at 16:59

table_101table_101

404

migrated from datascience.stackexchange.com Apr 7 at 2:37

This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Why don’t you use Seaborn instead?
  
  – pythinker
  Apr 6 at 17:02
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Ok can you just guide me regarding how this thing can be done using seaborn
  
  – table_101
  Apr 6 at 17:05
  

  
  
  
  

add a comment | 

5

I want to draw a triple bar graph with three different dataframes using matplotLib

DF1

index | Number 
A | 110 
B | 22 
D | 52

DF2

index | Number
A | 100
B | 22
C | 52

DF3

index | Number 
A | 90 
B | 12 
C | 10

I am trying to use this piece of code but this is giving error as for this data needs to be from same dataframe

ax=DF1[["Number"]].DF2[["Number"]].DF3[["Number"]].plot(kind ='bar',log=True,title = "BarGraph",figsize=(15,10),legend=True,fontsize=10)
ax.set_xlabel("Index",fontsize=12)
ax.set_ylabel("Number",fontsize=12)
plt.show()

python visualization matplotlib

share|improve this question

asked Apr 6 at 16:59

table_101table_101

404

migrated from datascience.stackexchange.com Apr 7 at 2:37

This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Why don’t you use Seaborn instead?
  
  – pythinker
  Apr 6 at 17:02
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Ok can you just guide me regarding how this thing can be done using seaborn
  
  – table_101
  Apr 6 at 17:05
  

  
  
  
  

add a comment | 

I want to draw a triple bar graph with three different dataframes using matplotLib

DF1

index | Number 
A | 110 
B | 22 
D | 52

DF2

index | Number
A | 100
B | 22
C | 52

DF3

index | Number 
A | 90 
B | 12 
C | 10

I am trying to use this piece of code but this is giving error as for this data needs to be from same dataframe

ax=DF1[["Number"]].DF2[["Number"]].DF3[["Number"]].plot(kind ='bar',log=True,title = "BarGraph",figsize=(15,10),legend=True,fontsize=10)
ax.set_xlabel("Index",fontsize=12)
ax.set_ylabel("Number",fontsize=12)
plt.show()

python visualization matplotlib

share|improve this question

asked Apr 6 at 16:59

table_101table_101

404

index | Number 
A | 110 
B | 22 
D | 52

index | Number
A | 100
B | 22
C | 52

index | Number 
A | 90 
B | 12 
C | 10

ax=DF1[["Number"]].DF2[["Number"]].DF3[["Number"]].plot(kind ='bar',log=True,title = "BarGraph",figsize=(15,10),legend=True,fontsize=10)
ax.set_xlabel("Index",fontsize=12)
ax.set_ylabel("Number",fontsize=12)
plt.show()

share|improve this question

asked Apr 6 at 16:59

table_101table_101

404

share|improve this question

asked Apr 6 at 16:59

table_101table_101

404

asked Apr 6 at 16:59

table_101table_101

404

asked Apr 6 at 16:59

table_101table_101

404

1 Answer
1

active

oldest

votes

2

If you are willing to use seaborn, this code chunk works for you:

import pandas as pd
import seaborn as sns

DF1 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [110, 22, 52])
DF2 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [100, 22, 52])
DF3 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [90, 12, 10])

DF = pd.concat([DF1, DF2, DF3])
DF['df_num'] = ['1','1','1','2','2','2','3','3','3']

sns.barplot(data = DF, x='index', y='Number', hue='df_num')

It should produce this plot:

share|improve this answer

answered Apr 6 at 17:35

pythinkerpythinker

1938

add a comment | 

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2

If you are willing to use seaborn, this code chunk works for you:

import pandas as pd
import seaborn as sns

DF1 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [110, 22, 52])
DF2 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [100, 22, 52])
DF3 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [90, 12, 10])

DF = pd.concat([DF1, DF2, DF3])
DF['df_num'] = ['1','1','1','2','2','2','3','3','3']

sns.barplot(data = DF, x='index', y='Number', hue='df_num')

It should produce this plot:

share|improve this answer

answered Apr 6 at 17:35

pythinkerpythinker

1938

add a comment | 

2

If you are willing to use seaborn, this code chunk works for you:

import pandas as pd
import seaborn as sns

DF1 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [110, 22, 52])
DF2 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [100, 22, 52])
DF3 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [90, 12, 10])

DF = pd.concat([DF1, DF2, DF3])
DF['df_num'] = ['1','1','1','2','2','2','3','3','3']

sns.barplot(data = DF, x='index', y='Number', hue='df_num')

It should produce this plot:

share|improve this answer

answered Apr 6 at 17:35

pythinkerpythinker

1938

add a comment | 

If you are willing to use seaborn, this code chunk works for you:

import pandas as pd
import seaborn as sns

DF1 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [110, 22, 52])
DF2 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [100, 22, 52])
DF3 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [90, 12, 10])

DF = pd.concat([DF1, DF2, DF3])
DF['df_num'] = ['1','1','1','2','2','2','3','3','3']

sns.barplot(data = DF, x='index', y='Number', hue='df_num')

It should produce this plot:

share|improve this answer

answered Apr 6 at 17:35

pythinkerpythinker

1938

import pandas as pd
import seaborn as sns

DF1 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [110, 22, 52])
DF2 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [100, 22, 52])
DF3 = pd.DataFrame('index': ['A', 'B', 'C'], 'Number': [90, 12, 10])

DF = pd.concat([DF1, DF2, DF3])
DF['df_num'] = ['1','1','1','2','2','2','3','3','3']

sns.barplot(data = DF, x='index', y='Number', hue='df_num')

share|improve this answer

answered Apr 6 at 17:35

pythinkerpythinker

1938

answered Apr 6 at 17:35

pythinkerpythinker

1938

answered Apr 6 at 17:35

pythinkerpythinker

1938