Ecdfplot
An ecdfplot represents the proportion or count of observations falling below each unique value in a dataset. Compared to a histogram or density plot, it has the advantage that each observation is visualized directly, meaning that no binning or smoothing parameters need to be adjusted.
Tarefa
Swipe to start coding
- Create the
ecdfplotusing theseabornlibrary:
- Set the
xparameter equals thebill_length_mm; - Set the
hueparameter equals the'island'; - Add the
complementaryparameter; - Set the
statparameter equals the'count'; - Set the palette equals the
'mako'; - Set the data.
Solução
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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 ecdfplot
sns.ecdfplot(# Set the x
x = 'bill_length_mm',
# Set the hue
hue = 'island',
# Set the complementary
complementary = True,
# Set the stat
stat = 'count',
# Set the palette
palette = 'mako',
# Set the data
data = df)
# Displaying the plot
plt.show()
Tudo estava claro?
Obrigado pelo seu feedback!
Seção 2. Capítulo 4
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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 ecdfplot
___(# Set the x
___,
# Set the hue
___,
# Set the complementary
complementary = ___,
# Set the stat
stat = ___,
# Set the palette
___,
# Set the data
___)
# Displaying the plot
plt.show()
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