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:

python

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()

Taak

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.

Oplossing

Schakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties

Was alles duidelijk?

Bedankt voor je feedback!

Sectie 3. Hoofdstuk 5

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:

python

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()

Taak

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.

Oplossing

Schakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties

Was alles duidelijk?

Bedankt voor je feedback!

Sectie 3. Hoofdstuk 5

Schakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties