Lære I'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()

Opgave

Swipe to start coding

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

Løsning

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder

Var alt klart?

Tak for dine kommentarer!

Sektion 3. Kapitel 5

single

Spørg AI

Spørg om hvad som helst eller prøv et af de foreslåede spørgsmål for at starte vores chat

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()

Opgave

Swipe to start coding

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

Løsning

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder

Var alt klart?

Tak for dine kommentarer!

Sektion 3. Kapitel 5

single

Stryg for at vise menuen

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()

Opgave

Swipe to start coding

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

Løsning

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder

Var alt klart?

Tak for dine kommentarer!

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

Løsning

Awesome!

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

Løsning

Awesome!

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

Løsning