Course Content
First Dive into seaborn Visualization
First Dive into seaborn Visualization
Colors in a 3-variable Plot
We also can change colors for the 3rd variable manually. To do that, we need to create a kind of a palette.
To set colors for a 3-variable plot:
It is important to create a new color palette for the hue variable and add this palette as an argument in the plot function.
The short list of the matplotlib
colors: blue, green, red, green/blue, yellow, purple, white, black, etc.
Let's change gender
colors in the Tips problem!
# 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/bilibili.csv') # Setting colors for the hue variable hue_colors = {'woman':'red', 'man':'black'} # Creating the 3-variable scatterplot sns.scatterplot(x = 'bill', y = 'tips', hue = 'gender', data=df, palette = hue_colors) # Showing the plot plt.show()
Swipe to show code editor
- Set the
'blue'
color forbreakfast
,'purple'
forlunch
,'green'
fordinner
for the hue value. - Show the plot.
Thanks for your feedback!
Colors in a 3-variable Plot
We also can change colors for the 3rd variable manually. To do that, we need to create a kind of a palette.
To set colors for a 3-variable plot:
It is important to create a new color palette for the hue variable and add this palette as an argument in the plot function.
The short list of the matplotlib
colors: blue, green, red, green/blue, yellow, purple, white, black, etc.
Let's change gender
colors in the Tips problem!
# 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/bilibili.csv') # Setting colors for the hue variable hue_colors = {'woman':'red', 'man':'black'} # Creating the 3-variable scatterplot sns.scatterplot(x = 'bill', y = 'tips', hue = 'gender', data=df, palette = hue_colors) # Showing the plot plt.show()
Swipe to show code editor
- Set the
'blue'
color forbreakfast
,'purple'
forlunch
,'green'
fordinner
for the hue value. - Show the plot.
Thanks for your feedback!
Colors in a 3-variable Plot
We also can change colors for the 3rd variable manually. To do that, we need to create a kind of a palette.
To set colors for a 3-variable plot:
It is important to create a new color palette for the hue variable and add this palette as an argument in the plot function.
The short list of the matplotlib
colors: blue, green, red, green/blue, yellow, purple, white, black, etc.
Let's change gender
colors in the Tips problem!
# 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/bilibili.csv') # Setting colors for the hue variable hue_colors = {'woman':'red', 'man':'black'} # Creating the 3-variable scatterplot sns.scatterplot(x = 'bill', y = 'tips', hue = 'gender', data=df, palette = hue_colors) # Showing the plot plt.show()
Swipe to show code editor
- Set the
'blue'
color forbreakfast
,'purple'
forlunch
,'green'
fordinner
for the hue value. - Show the plot.
Thanks for your feedback!
We also can change colors for the 3rd variable manually. To do that, we need to create a kind of a palette.
To set colors for a 3-variable plot:
It is important to create a new color palette for the hue variable and add this palette as an argument in the plot function.
The short list of the matplotlib
colors: blue, green, red, green/blue, yellow, purple, white, black, etc.
Let's change gender
colors in the Tips problem!
# 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/bilibili.csv') # Setting colors for the hue variable hue_colors = {'woman':'red', 'man':'black'} # Creating the 3-variable scatterplot sns.scatterplot(x = 'bill', y = 'tips', hue = 'gender', data=df, palette = hue_colors) # Showing the plot plt.show()
Swipe to show code editor
- Set the
'blue'
color forbreakfast
,'purple'
forlunch
,'green'
fordinner
for the hue value. - Show the plot.