Pointplot

A pointplot represents an estimate of the central tendency for a numeric variable by the position of scatter plot points and provides some indication of the uncertainty around that estimate using error bars.

Aufgabe

Swipe to start coding

Set the 'ticks' style with the 'azure' axes.facecolor.
Create the pointplot using the seaborn library and the g variable:

Set the x parameter equals the 'day';
Set the y parameter equals the 'tip';
Set the hue parameter equals the 'sex';
Set 'v' & 'o' markers;
Set the 'rocket' palette;
Set the dodge parameter equals the True;
Set the capsize parameter equals 0.2;
Set the next linestyles: '-' & '- -';
Set the data;
Display the plot.

Lösung

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 'ticks' style with the 'azure' facecolor

sns.set_style('ticks', {'axes.facecolor' : 'azure'})

# Create a pointplot using the g variable

g = sns.pointplot(# Set the x

x = 'day',

# Set the y

y = 'tip',

# Set the hue

hue = 'sex',

# Set the markers

markers = ['v', 'o'],

# Set the palette

palette = 'rocket',

# Set the dodge

dodge = True,

# Set the capsize

capsize = 0.2,

# Set the linestyles

linestyles = ['-', '--'],

# Set the data

data = df)

# Setting the title

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Abschnitt 3. Kapitel 6

single

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 'ticks' style with the 'azure' facecolor

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

# Create a pointplot using the g variable

___(# Set the x

x = '___',

# Set the y

___,

# Set the hue

___ = 'sex',

# Set the markers

___ = ['v', '___'],

# Set the palette

___,

# Set the dodge

___,

# Set the capsize

___ = 0.2,

# Set the linestyles

___ = ['-', '--'],

# Set the data

___)

# Setting the title

g.set_title('Tips pointplot')

# Display the plot

___

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