Rugplot

The rugplot is intended to complement other plots by showing the location of individual observations in an unobtrusive way.

Task

Swipe to start coding

Set the 'darkgrid' style with the disabled 'axes.grid' and the 'axes.facecolor' equals the 'aliceblue' (color). We learned how to do that in the first part of the course.
Create the kdeplot using the seaborn library.
Create the rugplot using the seaborn library:

Set the x parameter equals the 'total_bill';
Set the hue parameter equals the 'sex';
Set the height parameter equals 0.05;
Set the 'magma' palette;
Set the data using the df;
Display the plot.

Solution

import warnings

# Ignore all warnings

warnings.filterwarnings('ignore')

# Importing libraries needed

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

# Reading the file

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656/tips.csv')

# Set the 'darkgrid' style

sns.set_style('darkgrid',

# Disable the axes.grid

{'axes.grid' : False,

# Set the 'aliceblue' facecolor

'axes.facecolor' : 'aliceblue'})

# Create a kdeplot

sns.kdeplot(x = 'total_bill',

hue = 'sex',

palette = 'magma',

multiple = 'layer',

fill = True,

data = df)

# Create a rugplot

sns.rugplot(# Set the x

x = 'total_bill',

# Set the hue

hue = 'sex',

# Set the height

height = 0.05,

# Set the palette

palette = 'magma',

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Section 2. Chapter 3

import warnings

# Ignore all warnings

warnings.filterwarnings('ignore')

# Importing libraries needed

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

# Reading the file

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656/tips.csv')

# Set the 'darkgrid' style

sns.set_style('___',

# Disable the axes.grid

{'axes.___ ' : ___,

# Set the 'aliceblue' facecolor

'___.facecolor' : '___'})

# Create a kdeplot

sns.___(x = 'total_bill',

hue = 'sex',

palette = 'magma',

multiple = 'layer',

fill = True,

data = df)

# Create a rugplot

sns.___(# Set the x

___,

# Set the hue

___,

# Set the height

height = ___,

# Set the palette

___,

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