Contenido del Curso

First Dive into seaborn Visualization

1. Nice to Meet you, seaborn!

Practical Application A Little about seaborn Countplot Seaborn + Pandas

2. More and More Plots

Do you Need more Plots?Scatterplot 3-variable Scatterplot Colors in a 3-variable Plot Lineplot 3-variable Lineplot Histplot

3. Plot Customization

Why do we Need to Customize?Adding the Plot Title Let's Cope with Axes Decoration and...Decoration!I'm an Artist, that's how I See it!Final Challenge

Scatterplot

A scatterplot uses dots to represent values for two different numeric variables. The position of each dot on the horizontal and vertical axis indicates values for an individual data point.

An example of a scatterplot:

To initialize a scatterplot based on the pandas DataFrame, we need to input at least 3 parameters: x, y (columns-coordinates for the plot), and data (the DataFrame containing the data).

Look at the code below!


              123456789101112131415
            
# Importing the Seaborn 
import seaborn as sns
# Importing the matplotlib.pyplot 
import matplotlib.pyplot as plt
# Importing the pandas 
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/example4.csv')

# Creating the scatterplot
sns.scatterplot(x = 'x', y = 'y', data = df)

# Showing the plot
plt.show()

Let's solve this problem!

Tarea

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Create a scatterplot using 'x' column for the x-value and 'y' column for the y-value.
Show the plot.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

¡Gracias por tus comentarios!

Sección 2. Capítulo 2

Scatterplot

A scatterplot uses dots to represent values for two different numeric variables. The position of each dot on the horizontal and vertical axis indicates values for an individual data point.

An example of a scatterplot:

To initialize a scatterplot based on the pandas DataFrame, we need to input at least 3 parameters: x, y (columns-coordinates for the plot), and data (the DataFrame containing the data).

Look at the code below!


              123456789101112131415
            
# Importing the Seaborn 
import seaborn as sns
# Importing the matplotlib.pyplot 
import matplotlib.pyplot as plt
# Importing the pandas 
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/example4.csv')

# Creating the scatterplot
sns.scatterplot(x = 'x', y = 'y', data = df)

# Showing the plot
plt.show()

Let's solve this problem!

Tarea

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Create a scatterplot using 'x' column for the x-value and 'y' column for the y-value.
Show the plot.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

¡Gracias por tus comentarios!

Sección 2. Capítulo 2

Scatterplot

A scatterplot uses dots to represent values for two different numeric variables. The position of each dot on the horizontal and vertical axis indicates values for an individual data point.

An example of a scatterplot:

To initialize a scatterplot based on the pandas DataFrame, we need to input at least 3 parameters: x, y (columns-coordinates for the plot), and data (the DataFrame containing the data).

Look at the code below!


              123456789101112131415
            
# Importing the Seaborn 
import seaborn as sns
# Importing the matplotlib.pyplot 
import matplotlib.pyplot as plt
# Importing the pandas 
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/example4.csv')

# Creating the scatterplot
sns.scatterplot(x = 'x', y = 'y', data = df)

# Showing the plot
plt.show()

Let's solve this problem!

Tarea

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Create a scatterplot using 'x' column for the x-value and 'y' column for the y-value.
Show the plot.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

¿Todo estuvo claro?

¡Gracias por tus comentarios!

A scatterplot uses dots to represent values for two different numeric variables. The position of each dot on the horizontal and vertical axis indicates values for an individual data point.

An example of a scatterplot:

To initialize a scatterplot based on the pandas DataFrame, we need to input at least 3 parameters: x, y (columns-coordinates for the plot), and data (the DataFrame containing the data).

Look at the code below!


              123456789101112131415
            
# Importing the Seaborn 
import seaborn as sns
# Importing the matplotlib.pyplot 
import matplotlib.pyplot as plt
# Importing the pandas 
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/example4.csv')

# Creating the scatterplot
sns.scatterplot(x = 'x', y = 'y', data = df)

# Showing the plot
plt.show()

Let's solve this problem!

Tarea

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Create a scatterplot using 'x' column for the x-value and 'y' column for the y-value.
Show the plot.

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones

Sección 2. Capítulo 2

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones