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First Dive into seaborn Visualization
course content

Contenido del Curso

First Dive into seaborn Visualization

First Dive into seaborn Visualization

1. Nice to Meet you, seaborn!
Practical ApplicationA Little about seabornCountplotSeaborn + Pandas
2. More and More Plots
Do you Need more Plots?Scatterplot3-variable ScatterplotColors in a 3-variable PlotLineplot3-variable LineplotHistplot
3. Plot Customization
Why do we Need to Customize?Adding the Plot TitleLet's Cope with AxesDecoration and...Decoration!I'm an Artist, that's how I See it!Final Challenge

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.

              
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# 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

Tarea

  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 desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 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

Tarea

  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 desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 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

Tarea

  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 desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

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

Tarea

  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 desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 3. Capítulo 2
Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
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