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0

I want the first subplot to only include 'Máximo', 'Média', 'Mínimo', and the second to only include 'Amplitude', 'Desvio Padrão'.

I tried the following:

def plotGraph(title, z): #Todo Completar a função com legendas e título.
 sns.set()
 fig, ax = plt.subplots(2,1)
 sns.lineplot(data=z, hue=['Máximo', 'Média', 'Mínimo'], ax=ax[0])
 sns.lineplot(data=z, hue=['Amplitude', 'Desvio Padrão'], ax=ax[1])
 plt.show()

But got this:

I know I can make this with multiple calls using plt.plot(), but is there a way to do with seaborn?

 **EDITED**

thanks, but I realized I don't need 'Desvio Padrão'. Is there a way to just legend 'Amplitude' ?

def plotGraph(title, df): #Todo Completar a função com legendas e título.
 sns.set()
 fig, ax = plt.subplots(2,1)
 fig.suptitle(title)
 sns.lineplot(data=df[['Máximo', 'Média', 'Mínimo']], hue=['Máximo', 'Média', 'Mínimo'], ax=ax[0])
 sns.lineplot(data=df['Amplitude'], hue='Amplitude', ax=ax[1], legend='full')
 fig.tight_layout(rect=[0.01, 0.01, 0.95, 0.95]) # Controla o tamanho dos gŕaficos na figura (valores entre 0 e 1).
 plt.show()

enter image description here

python dataframe matplotlib seaborn

share|improve this question

edited Mar 22 at 22:13

João Vitor Barbosa

asked Mar 22 at 18:35

João Vitor BarbosaJoão Vitor Barbosa

12

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  can you include sample data?
  
  – josemz
  Mar 22 at 19:00
  

  
  
  
  

add a comment | 

0

I want the first subplot to only include 'Máximo', 'Média', 'Mínimo', and the second to only include 'Amplitude', 'Desvio Padrão'.

I tried the following:

def plotGraph(title, z): #Todo Completar a função com legendas e título.
 sns.set()
 fig, ax = plt.subplots(2,1)
 sns.lineplot(data=z, hue=['Máximo', 'Média', 'Mínimo'], ax=ax[0])
 sns.lineplot(data=z, hue=['Amplitude', 'Desvio Padrão'], ax=ax[1])
 plt.show()

But got this:

I know I can make this with multiple calls using plt.plot(), but is there a way to do with seaborn?

 **EDITED**

thanks, but I realized I don't need 'Desvio Padrão'. Is there a way to just legend 'Amplitude' ?

def plotGraph(title, df): #Todo Completar a função com legendas e título.
 sns.set()
 fig, ax = plt.subplots(2,1)
 fig.suptitle(title)
 sns.lineplot(data=df[['Máximo', 'Média', 'Mínimo']], hue=['Máximo', 'Média', 'Mínimo'], ax=ax[0])
 sns.lineplot(data=df['Amplitude'], hue='Amplitude', ax=ax[1], legend='full')
 fig.tight_layout(rect=[0.01, 0.01, 0.95, 0.95]) # Controla o tamanho dos gŕaficos na figura (valores entre 0 e 1).
 plt.show()

enter image description here

python dataframe matplotlib seaborn

share|improve this question

edited Mar 22 at 22:13

João Vitor Barbosa

asked Mar 22 at 18:35

João Vitor BarbosaJoão Vitor Barbosa

12

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  can you include sample data?
  
  – josemz
  Mar 22 at 19:00
  

  
  
  
  

add a comment | 

I want the first subplot to only include 'Máximo', 'Média', 'Mínimo', and the second to only include 'Amplitude', 'Desvio Padrão'.

I tried the following:

def plotGraph(title, z): #Todo Completar a função com legendas e título.
 sns.set()
 fig, ax = plt.subplots(2,1)
 sns.lineplot(data=z, hue=['Máximo', 'Média', 'Mínimo'], ax=ax[0])
 sns.lineplot(data=z, hue=['Amplitude', 'Desvio Padrão'], ax=ax[1])
 plt.show()

But got this:

I know I can make this with multiple calls using plt.plot(), but is there a way to do with seaborn?

 **EDITED**

thanks, but I realized I don't need 'Desvio Padrão'. Is there a way to just legend 'Amplitude' ?

def plotGraph(title, df): #Todo Completar a função com legendas e título.
 sns.set()
 fig, ax = plt.subplots(2,1)
 fig.suptitle(title)
 sns.lineplot(data=df[['Máximo', 'Média', 'Mínimo']], hue=['Máximo', 'Média', 'Mínimo'], ax=ax[0])
 sns.lineplot(data=df['Amplitude'], hue='Amplitude', ax=ax[1], legend='full')
 fig.tight_layout(rect=[0.01, 0.01, 0.95, 0.95]) # Controla o tamanho dos gŕaficos na figura (valores entre 0 e 1).
 plt.show()

enter image description here

python dataframe matplotlib seaborn

share|improve this question

edited Mar 22 at 22:13

João Vitor Barbosa

asked Mar 22 at 18:35

João Vitor BarbosaJoão Vitor Barbosa

12

def plotGraph(title, z): #Todo Completar a função com legendas e título.
 sns.set()
 fig, ax = plt.subplots(2,1)
 sns.lineplot(data=z, hue=['Máximo', 'Média', 'Mínimo'], ax=ax[0])
 sns.lineplot(data=z, hue=['Amplitude', 'Desvio Padrão'], ax=ax[1])
 plt.show()

 **EDITED**

def plotGraph(title, df): #Todo Completar a função com legendas e título.
 sns.set()
 fig, ax = plt.subplots(2,1)
 fig.suptitle(title)
 sns.lineplot(data=df[['Máximo', 'Média', 'Mínimo']], hue=['Máximo', 'Média', 'Mínimo'], ax=ax[0])
 sns.lineplot(data=df['Amplitude'], hue='Amplitude', ax=ax[1], legend='full')
 fig.tight_layout(rect=[0.01, 0.01, 0.95, 0.95]) # Controla o tamanho dos gŕaficos na figura (valores entre 0 e 1).
 plt.show()

share|improve this question

edited Mar 22 at 22:13

João Vitor Barbosa

asked Mar 22 at 18:35

João Vitor BarbosaJoão Vitor Barbosa

12

share|improve this question

edited Mar 22 at 22:13

João Vitor Barbosa

asked Mar 22 at 18:35

João Vitor BarbosaJoão Vitor Barbosa

12

asked Mar 22 at 18:35

João Vitor BarbosaJoão Vitor Barbosa

12

asked Mar 22 at 18:35

João Vitor BarbosaJoão Vitor Barbosa

12

1 Answer
1

active

oldest

votes

1

You need to subset the data frame to include only the columns you want to plot:

import pandas as pd
import numpy as np; np.random.seed(0)
import matplotlib.pyplot as plt
import seaborn as sns
import cufflinks as cf

# Generate sample data
df = cf.datagen.lines(5)
df.columns = ['Máximo', 'Média', 'Mínimo', 'Amplitude', 'Desvio Padrão']
df = df.reset_index(drop=True)

def plotGraph(title, z):
 sns.set()
 fig, ax = plt.subplots(2,1)
 fig.suptitle(title)
 sns.lineplot(data=z[['Máximo', 'Média', 'Mínimo']], hue=['Máximo', 'Média', 'Mínimo'], ax=ax[0])
 sns.lineplot(data=z[['Amplitude', 'Desvio Padrão']], hue=['Amplitude', 'Desvio Padrão'], ax=ax[1])
 fig.tight_layout(rect=[0, 0.03, 1, 0.95])
 plt.show()

plotGraph('Plot Title', df)

share|improve this answer

edited Mar 22 at 19:40

answered Mar 22 at 19:30

NathanielNathaniel

2,220214

add a comment | 

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1

You need to subset the data frame to include only the columns you want to plot:

import pandas as pd
import numpy as np; np.random.seed(0)
import matplotlib.pyplot as plt
import seaborn as sns
import cufflinks as cf

# Generate sample data
df = cf.datagen.lines(5)
df.columns = ['Máximo', 'Média', 'Mínimo', 'Amplitude', 'Desvio Padrão']
df = df.reset_index(drop=True)

def plotGraph(title, z):
 sns.set()
 fig, ax = plt.subplots(2,1)
 fig.suptitle(title)
 sns.lineplot(data=z[['Máximo', 'Média', 'Mínimo']], hue=['Máximo', 'Média', 'Mínimo'], ax=ax[0])
 sns.lineplot(data=z[['Amplitude', 'Desvio Padrão']], hue=['Amplitude', 'Desvio Padrão'], ax=ax[1])
 fig.tight_layout(rect=[0, 0.03, 1, 0.95])
 plt.show()

plotGraph('Plot Title', df)

share|improve this answer

edited Mar 22 at 19:40

answered Mar 22 at 19:30

NathanielNathaniel

2,220214

add a comment | 

1

You need to subset the data frame to include only the columns you want to plot:

import pandas as pd
import numpy as np; np.random.seed(0)
import matplotlib.pyplot as plt
import seaborn as sns
import cufflinks as cf

# Generate sample data
df = cf.datagen.lines(5)
df.columns = ['Máximo', 'Média', 'Mínimo', 'Amplitude', 'Desvio Padrão']
df = df.reset_index(drop=True)

def plotGraph(title, z):
 sns.set()
 fig, ax = plt.subplots(2,1)
 fig.suptitle(title)
 sns.lineplot(data=z[['Máximo', 'Média', 'Mínimo']], hue=['Máximo', 'Média', 'Mínimo'], ax=ax[0])
 sns.lineplot(data=z[['Amplitude', 'Desvio Padrão']], hue=['Amplitude', 'Desvio Padrão'], ax=ax[1])
 fig.tight_layout(rect=[0, 0.03, 1, 0.95])
 plt.show()

plotGraph('Plot Title', df)

share|improve this answer

edited Mar 22 at 19:40

answered Mar 22 at 19:30

NathanielNathaniel

2,220214

add a comment | 

You need to subset the data frame to include only the columns you want to plot:

import pandas as pd
import numpy as np; np.random.seed(0)
import matplotlib.pyplot as plt
import seaborn as sns
import cufflinks as cf

# Generate sample data
df = cf.datagen.lines(5)
df.columns = ['Máximo', 'Média', 'Mínimo', 'Amplitude', 'Desvio Padrão']
df = df.reset_index(drop=True)

def plotGraph(title, z):
 sns.set()
 fig, ax = plt.subplots(2,1)
 fig.suptitle(title)
 sns.lineplot(data=z[['Máximo', 'Média', 'Mínimo']], hue=['Máximo', 'Média', 'Mínimo'], ax=ax[0])
 sns.lineplot(data=z[['Amplitude', 'Desvio Padrão']], hue=['Amplitude', 'Desvio Padrão'], ax=ax[1])
 fig.tight_layout(rect=[0, 0.03, 1, 0.95])
 plt.show()

plotGraph('Plot Title', df)

share|improve this answer

edited Mar 22 at 19:40

answered Mar 22 at 19:30

NathanielNathaniel

2,220214

import pandas as pd
import numpy as np; np.random.seed(0)
import matplotlib.pyplot as plt
import seaborn as sns
import cufflinks as cf

# Generate sample data
df = cf.datagen.lines(5)
df.columns = ['Máximo', 'Média', 'Mínimo', 'Amplitude', 'Desvio Padrão']
df = df.reset_index(drop=True)

def plotGraph(title, z):
 sns.set()
 fig, ax = plt.subplots(2,1)
 fig.suptitle(title)
 sns.lineplot(data=z[['Máximo', 'Média', 'Mínimo']], hue=['Máximo', 'Média', 'Mínimo'], ax=ax[0])
 sns.lineplot(data=z[['Amplitude', 'Desvio Padrão']], hue=['Amplitude', 'Desvio Padrão'], ax=ax[1])
 fig.tight_layout(rect=[0, 0.03, 1, 0.95])
 plt.show()

plotGraph('Plot Title', df)

share|improve this answer

edited Mar 22 at 19:40

answered Mar 22 at 19:30

NathanielNathaniel

2,220214

answered Mar 22 at 19:30

NathanielNathaniel

2,220214

answered Mar 22 at 19:30

NathanielNathaniel

2,220214