Histplot
The distributions module contains several functions designed to answer questions such as these. The axes-level functions are histplot, kdeplot, ecdfplot, and rugplot. They are grouped together within the figure-level displot function.
A histplot is a classic visualization tool that represents the distribution of one or more variables by counting the number of observations that fall within discrete bins.
Click the slider to view possible arguments for the plot!
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Note
Use
plt.show()to display the plot.
Uppgift
Swipe to start coding
- Create the histplot using the
seabornlibrary:
- Set the
xparameter equals the'bill_length_mm'; - Set the
hueparameter equals the'island'; - Set the
elementparameter equals the'step'; - Set the
statparameter equals the'density'; - Set the
binwidthparameter equals1; - Set the
'flare'palette; - Use the
dfdata for the plot; - Display the plot.
Lösning
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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/penguins.csv')
# Create a histplot
sns.histplot(# Set the x
x = 'bill_length_mm',
# Set the hue
hue = 'island',
# Set the element
element = 'step',
# Set the stat
stat = 'density',
# Set the binwidth
binwidth = 1,
# Set the palette
palette = 'flare',
# Set the data
data = df)
# Display the plot
plt.show()
Var allt tydligt?
Tack för dina kommentarer!
Avsnitt 2. 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/penguins.csv')
# Create a histplot
sns.___(# Set the x
x = '___',
# Set the hue
hue = '___',
# Set the element
element = '___',
# Set the stat
stat = '___',
# Set the binwidth
___ = 1,
# Set the palette
___ = '___',
# Set the data
data = ___)
# Display the plot
___
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