How to Use Seaborn - Python Visualization









Here are some examples of Seaborn plots:

Line plot:

A line plot is a simple but effective way to show the relationship between two variables over time.

.


Line Plot

Python

import seaborn as sns
import matplotlib.pyplot as plt

# Create some data
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

# Plot the line plot
sns.lineplot(x=x, y=y)

# Show the plot
plt.show()

Bar plot: 

A bar plot is a good way to show the frequency of categorical data.


Bar Plot


Python

import seaborn as sns
import matplotlib.pyplot as plt

# Create some data
x = ["A", "B", "C", "D"]
y = [10, 20, 30, 40]

# Plot the bar plot
sns.barplot(x=x, y=y)

# Show the plot
plt.show()

Histogram

A histogram is a good way to show the distribution of continuous data.


Histogram

Python

import seaborn as sns
import matplotlib.pyplot as plt

# Create some data
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

# Plot the histogram
sns.distplot(x)

# Show the plot
plt.show()

Scatter plot:

A scatter plot is a good way to show the relationship between two continuous variables.


Scatter Plot


Python

import seaborn as sns
import matplotlib.pyplot as plt

# Create some data
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

# Plot the scatter plot
sns.scatterplot(x=x, y=y)

# Show the plot
plt.show()

Box plot: 

A box plot is a good way to show the distribution of data, including the median,  

quartiles, and outliers.


Box Plot


Python

import seaborn as sns
import matplotlib.pyplot as plt

# Create some data
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

# Plot the box plot
sns.boxplot(x=x)

# Show the plot
plt.show()


Violin plot: 

Violin Plot

A violin plot is a good way to show the distribution of data, including the median, quartiles, and outliers. It is similar to a box plot, but it also shows the distribution of the data within each quartile.

Python

import seaborn as sns
import matplotlib.pyplot as plt

# Create some data
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

# Plot the violin plot
sns.violinplot(x=x)

# Show the plot
plt.show()

Heatmap: 

A heatmap is a good way to show the correlation between two variables. It is a matrix of values, where the values represent the correlation between the two variables.



Heat Map


Python

import seaborn as sns
import matplotlib.pyplot as plt

# Create some data
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

# Plot the heatmap
sns.heatmap(x=x, y=y)

# Show the plot
plt.show()



Seaborn is a powerful tool that can be used to create effective statistical visualizations. 

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