Conteúdo do 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

Lineplot

An example of a lineplot:

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

Look at the code below!


              12345678910111213
            
# 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/example4.csv')

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

# Showing the plot
plt.show()

Let's solve this problem!

Tarefa

Swipe to show code editor

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas withpd alias.
Read the file.
Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
Show the plot.

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Tudo estava claro?

Obrigado pelo seu feedback!

Seção 2. Capítulo 5

Lineplot

An example of a lineplot:

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

Look at the code below!


              12345678910111213
            
# 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/example4.csv')

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

# Showing the plot
plt.show()

Let's solve this problem!

Tarefa

Swipe to show code editor

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas withpd alias.
Read the file.
Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
Show the plot.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Obrigado pelo seu feedback!

Seção 2. Capítulo 5

Lineplot

An example of a lineplot:

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

Look at the code below!


              12345678910111213
            
# 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/example4.csv')

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

# Showing the plot
plt.show()

Let's solve this problem!

Tarefa

Swipe to show code editor

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas withpd alias.
Read the file.
Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
Show the plot.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Obrigado pelo seu feedback!

An example of a lineplot:

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

Look at the code below!


              12345678910111213
            
# 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/example4.csv')

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

# Showing the plot
plt.show()

Let's solve this problem!

Tarefa

Swipe to show code editor

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas withpd alias.
Read the file.
Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
Show the plot.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Seção 2. Capítulo 5

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo