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.
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- Set the
'whitegrid'style with the'aliceblue'axes.facecolor. - Create the
stripplotusing theseabornlibrary:
- Set the
xparameter equals the'day'; - Set the
yparameter equals the'total_bill'; - Set the
hueparameter equals the'smoker'; - Set the
sizeparameter equals20; - Set the
'crest'palette; - Set the
'D'marker; - Set the
alphaparameter equals0.25.
Løsning
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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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Sektion 3. Kapitel 1
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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,
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