KDE overlay concept in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the seaborn library as sns.

Matplotlib

import [1] as sns

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Amatplotlib

Bseaborn

Cnumpy

Dpandas

Attempts:

3 left

💡 Hint

Common Mistakes

Importing matplotlib instead of seaborn.

Using wrong alias like 'sb' instead of 'sns'.

Seaborn is the library used for KDE plots, so we import it as sns.

2fill in blank

medium

Complete the code to create a KDE plot of data1 with shading.

Matplotlib

sns.kdeplot([1], shade=True)

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Adata2

Bdata

Cdata1

Dvalues

Attempts:

3 left

💡 Hint

Common Mistakes

Using data2 instead of data1.

Passing a wrong variable name.

We want to plot the KDE of data1, so we pass data1 to sns.kdeplot.

3fill in blank

hard

Fix the error in the code to overlay KDE plots of data1 and data2 on the same axes.

Matplotlib

sns.kdeplot(data1, shade=True)
sns.kdeplot([1], shade=True)

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Avalues

Bdata1

Cdata

Ddata2

Attempts:

3 left

💡 Hint

Common Mistakes

Plotting data1 twice.

Using a variable not defined.

To overlay, plot data1 first, then data2 on the same axes.

4fill in blank

hard

Fill both blanks to create KDE plots of data1 and data2 with different colors.

Matplotlib

sns.kdeplot([1], shade=True, color='blue')
sns.kdeplot([2], shade=True, color='red')

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Adata1

Bdata2

Cvalues

Ddataset

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping data1 and data2.

Using the same color for both plots.

Use data1 for the blue plot and data2 for the red plot to distinguish them.

5fill in blank

hard

Fill all three blanks to create KDE plots of data1 and data2 with labels and a legend.

Matplotlib

sns.kdeplot([1], shade=True, label=[2], color=[3])
sns.kdeplot(data2, shade=True, label='Data 2', color='red')
plt.legend()

Drag options to blanks, or click blank then click option'

Adata1

B'Data 1'

C'blue'

D'green'

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting to add labels.

Not calling plt.legend() to show the legend.

Plot data1 with label 'Data 1' and color blue, then data2 with label 'Data 2' and color red, then show legend.