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First Dive into seaborn Visualization

bookI'm an Artist, that's how I See it!

We mentioned that the seaborn is based on the matplotlib. That is why all seaborn styles are set using matplotlib functions.

We can use the axes_style() function with no arguments to see which functions are used for the current style.

And then, we have the opportunity to adjust the desired parameters manually and create our unique style!

To change individual style settings manually:

import seaborn as sns
# Setting the unique style
sns.set_style('style_name', {'axes.facecolor': 'red', 'grid.color': 'black',...})

Try this code to look at the customized plot:


              
123456789101112131415161718192021

            
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt

# Generate random data for the line plot
x = np.linspace(0, 10, 100)
y = np.sin(x)

# Set the style of the plot using sns.set_style()
sns.set_style('whitegrid', {'axes.facecolor': 'lightgrey', 'grid.color': 'white', 'grid.linewidth': 1})

# Create the line plot using sns.lineplot()
sns.lineplot(x = x, y = y, color = 'blue')

# Add a title and axis labels to the plot
plt.title('Lineplot')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')

# Display the plot
plt.show()
copy
Taak

Swipe to start coding

  1. Import seaborn with sns alias.
  2. Import matplotlib.pyplot with plt alias.
  3. Import pandas with pd alias.
  4. Set 'whitegrid' style with 'xtick.color' - white, 'ytick.color' - white, 'figure.facecolor' - grey, 'font.family'- ['monospace'].
  5. Rotate labels along the Ox axis by 45 degrees.
  6. Show the plot.

Oplossing

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bookI'm an Artist, that's how I See it!

We mentioned that the seaborn is based on the matplotlib. That is why all seaborn styles are set using matplotlib functions.

We can use the axes_style() function with no arguments to see which functions are used for the current style.

And then, we have the opportunity to adjust the desired parameters manually and create our unique style!

To change individual style settings manually:

import seaborn as sns
# Setting the unique style
sns.set_style('style_name', {'axes.facecolor': 'red', 'grid.color': 'black',...})

Try this code to look at the customized plot:


              
123456789101112131415161718192021

            
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt

# Generate random data for the line plot
x = np.linspace(0, 10, 100)
y = np.sin(x)

# Set the style of the plot using sns.set_style()
sns.set_style('whitegrid', {'axes.facecolor': 'lightgrey', 'grid.color': 'white', 'grid.linewidth': 1})

# Create the line plot using sns.lineplot()
sns.lineplot(x = x, y = y, color = 'blue')

# Add a title and axis labels to the plot
plt.title('Lineplot')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')

# Display the plot
plt.show()
copy
Taak

Swipe to start coding

  1. Import seaborn with sns alias.
  2. Import matplotlib.pyplot with plt alias.
  3. Import pandas with pd alias.
  4. Set 'whitegrid' style with 'xtick.color' - white, 'ytick.color' - white, 'figure.facecolor' - grey, 'font.family'- ['monospace'].
  5. Rotate labels along the Ox axis by 45 degrees.
  6. Show the plot.

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 3. Hoofdstuk 5
single

single

close

Awesome!

Completion rate improved to 5.88

bookI'm an Artist, that's how I See it!

Veeg om het menu te tonen

We mentioned that the seaborn is based on the matplotlib. That is why all seaborn styles are set using matplotlib functions.

We can use the axes_style() function with no arguments to see which functions are used for the current style.

And then, we have the opportunity to adjust the desired parameters manually and create our unique style!

To change individual style settings manually:

import seaborn as sns
# Setting the unique style
sns.set_style('style_name', {'axes.facecolor': 'red', 'grid.color': 'black',...})

Try this code to look at the customized plot:


              
123456789101112131415161718192021

            
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt

# Generate random data for the line plot
x = np.linspace(0, 10, 100)
y = np.sin(x)

# Set the style of the plot using sns.set_style()
sns.set_style('whitegrid', {'axes.facecolor': 'lightgrey', 'grid.color': 'white', 'grid.linewidth': 1})

# Create the line plot using sns.lineplot()
sns.lineplot(x = x, y = y, color = 'blue')

# Add a title and axis labels to the plot
plt.title('Lineplot')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')

# Display the plot
plt.show()
copy
Taak

Swipe to start coding

  1. Import seaborn with sns alias.
  2. Import matplotlib.pyplot with plt alias.
  3. Import pandas with pd alias.
  4. Set 'whitegrid' style with 'xtick.color' - white, 'ytick.color' - white, 'figure.facecolor' - grey, 'font.family'- ['monospace'].
  5. Rotate labels along the Ox axis by 45 degrees.
  6. Show the plot.

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

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