Stripplot

In statistics, a categorical variable is a variable that can take on one of a limited and usually fixed number of possible values, assigning each individual or other unit of observation to a particular group or nominal category on the basis of some qualitative property.

A stripplot is a single-axis scatter plot that is used to visualize the distribution of many individual one-dimensional values. The values are plotted as dots along one unique axis, and the dots with the same value can overlap.

Tâche

Swipe to start coding

Set the 'whitegrid' style with the 'aliceblue' axes.facecolor.
Create the stripplot using the seaborn library:

Set the x parameter equals the 'day';
Set the y parameter equals the 'total_bill';
Set the hue parameter equals the 'smoker';
Set the size parameter equals 20;
Set the 'crest' palette;
Set the 'D' marker;
Set the alpha parameter equals 0.25.

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 'whitegrid' style with the 'aliceblue' facecolor

sns.set_style('whitegrid', {'axes.facecolor': 'aliceblue'})

# Create a stripplot

sns.stripplot(# Set the x

x = 'day',

# Set the y

y = 'total_bill',

# Set the hue

hue = 'smoker',

# Set the size

size = 20,

# Set the palette

palette = 'crest',

# Set the marker

marker = 'D',

# Set the alpha

alpha = 0.25,

# Setting the data

data = df)

# Displaying the plot

plt.show()

# Importing libraries needed

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Section 3. Chapitre 1

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 'whitegrid' style with the 'aliceblue' facecolor

sns.set_style('whitegrid', {'axes.facecolor': 'aliceblue'})

# Create a stripplot

sns.stripplot(# Set the x

x = 'day',

# Set the y

y = 'total_bill',

# Set the hue

hue = 'smoker',

# Set the size

size = 20,

# Set the palette

palette = 'crest',

# Set the marker

marker = 'D',

# Set the alpha

alpha = 0.25,

# Setting the data

data = df)

# Displaying the plot

plt.show()

# 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 'whitegrid' style with the 'aliceblue' facecolor

___('___', {'axes.___': ___})

# Create a stripplot

___(# Set the x

___,

# Set the y

___,

# Set the hue

hue = '___',

# Set the size

___ = 20,

# Set the palette

palette = '___',

# Set the marker

___,

# Set the alpha

___ = 0.25,

# Setting the data

data = df)

# Displaying the plot

plt.show()