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Adding the Plot Title | Plot Customization
First Dive into seaborn Visualization
course content

Conteúdo do Curso

First Dive into seaborn Visualization

First Dive into seaborn Visualization

1. Nice to Meet you, seaborn!
2. More and More Plots
3. Plot Customization

bookAdding the Plot Title

Plotting in the seaborn can be used to create 2 types of plots: FacetGrids and AxesSubplots.

We have learned only plots of the AxesSubplots type, so we will learn how to customize only plots of the corresponding type.

To add the title you need to:

  • Declare a plot variable;
  • Add the title.
12345678910111213141516
# Importing libraries needed import seaborn as sns import matplotlib.pyplot as plt import pandas as pd # Reading the file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example3.csv') # Creating the countplot and declaring the variable g = sns.countplot(x = 'food', data = df) # Setting the title g.set_title('Food') # Showing the plot plt.show()
copy

Tarefa

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas with pd alias.
  4. Read the file using df variable.
  5. Create a histplot variable g.
  6. Set the title 'Fish'.
  7. Show the plot.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 3. Capítulo 2
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bookAdding the Plot Title

Plotting in the seaborn can be used to create 2 types of plots: FacetGrids and AxesSubplots.

We have learned only plots of the AxesSubplots type, so we will learn how to customize only plots of the corresponding type.

To add the title you need to:

  • Declare a plot variable;
  • Add the title.
12345678910111213141516
# Importing libraries needed import seaborn as sns import matplotlib.pyplot as plt import pandas as pd # Reading the file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example3.csv') # Creating the countplot and declaring the variable g = sns.countplot(x = 'food', data = df) # Setting the title g.set_title('Food') # Showing the plot plt.show()
copy

Tarefa

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas with pd alias.
  4. Read the file using df variable.
  5. Create a histplot variable g.
  6. Set the title 'Fish'.
  7. Show the plot.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 3. Capítulo 2
toggle bottom row

bookAdding the Plot Title

Plotting in the seaborn can be used to create 2 types of plots: FacetGrids and AxesSubplots.

We have learned only plots of the AxesSubplots type, so we will learn how to customize only plots of the corresponding type.

To add the title you need to:

  • Declare a plot variable;
  • Add the title.
12345678910111213141516
# Importing libraries needed import seaborn as sns import matplotlib.pyplot as plt import pandas as pd # Reading the file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example3.csv') # Creating the countplot and declaring the variable g = sns.countplot(x = 'food', data = df) # Setting the title g.set_title('Food') # Showing the plot plt.show()
copy

Tarefa

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas with pd alias.
  4. Read the file using df variable.
  5. Create a histplot variable g.
  6. Set the title 'Fish'.
  7. Show the plot.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Plotting in the seaborn can be used to create 2 types of plots: FacetGrids and AxesSubplots.

We have learned only plots of the AxesSubplots type, so we will learn how to customize only plots of the corresponding type.

To add the title you need to:

  • Declare a plot variable;
  • Add the title.
12345678910111213141516
# Importing libraries needed import seaborn as sns import matplotlib.pyplot as plt import pandas as pd # Reading the file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example3.csv') # Creating the countplot and declaring the variable g = sns.countplot(x = 'food', data = df) # Setting the title g.set_title('Food') # Showing the plot plt.show()
copy

Tarefa

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas with pd alias.
  4. Read the file using df variable.
  5. Create a histplot variable g.
  6. Set the title 'Fish'.
  7. Show the plot.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Seção 3. Capítulo 2
Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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