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Apprendre Adding the Plot Title | Plot Customization
First Dive into seaborn Visualization
course content

Contenu du cours

First Dive into seaborn Visualization

First Dive into seaborn Visualization

1. Nice to Meet you, seaborn!
2. More and More Plots
3. Plot Customization

book
Adding the Plot Title

Plotting in the seaborn can be used to create 2 types of plots: FacetGrids and AxesSubplots.

We have learned only plots of the AxesSubplots type, so we will learn how to customize only plots of the corresponding type.

To add the title you need to:

  • Declare a plot variable;
  • Add the title.
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# 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/example3.csv') # Creating the countplot and declaring the variable g = sns.countplot(x = 'food', data = df) # Setting the title g.set_title('Food') # Showing the plot plt.show()
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Tâche

Swipe to start coding

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas with pd alias.
  4. Read the file using df variable.
  5. Create a histplot variable g.
  6. Set the title 'Fish'.
  7. Show the plot.

Solution

Switch to desktopPassez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous
Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

Section 3. Chapitre 2
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book
Adding the Plot Title

Plotting in the seaborn can be used to create 2 types of plots: FacetGrids and AxesSubplots.

We have learned only plots of the AxesSubplots type, so we will learn how to customize only plots of the corresponding type.

To add the title you need to:

  • Declare a plot variable;
  • Add the title.
12345678910111213141516
# 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/example3.csv') # Creating the countplot and declaring the variable g = sns.countplot(x = 'food', data = df) # Setting the title g.set_title('Food') # Showing the plot plt.show()
copy
Tâche

Swipe to start coding

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas with pd alias.
  4. Read the file using df variable.
  5. Create a histplot variable g.
  6. Set the title 'Fish'.
  7. Show the plot.

Solution

Switch to desktopPassez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous
Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

Section 3. Chapitre 2
Switch to desktopPassez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous
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