Multiple time series comparison in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the matplotlib plotting library.

Matplotlib

import [1] as plt

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

Amatplotlib.pyplot

Bnumpy

Cpandas

Dseaborn

Attempts:

3 left

💡 Hint

Common Mistakes

Importing the whole matplotlib instead of pyplot.

Using numpy or pandas instead of matplotlib.pyplot.

We use matplotlib.pyplot to create plots in Python.

2fill in blank

medium

Complete the code to plot the first time series data.

Matplotlib

plt.plot(time, [1], label='Series 1')

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Aseries1

Bseries2

Ctime

Dlabel

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong variable like series2.

Using time for both x and y.

The first series data is stored in the variable series1.

3fill in blank

hard

Fix the error in the code to add a legend to the plot.

Matplotlib

plt.[1]()

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Ashowlegend

Blegends

Clabel

Dlegend

Attempts:

3 left

💡 Hint

Common Mistakes

Using legends() which does not exist.

Trying to use label() instead of legend().

The correct function to show the legend is plt.legend().

4fill in blank

hard

Fill both blanks to plot the second series with a red dashed line and add a title.

Matplotlib

plt.plot(time, series2, color='r', [1]='--')
plt.[2]('Comparison of Two Series')

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Alinestyle

Bcolor

Ctitle

Dxlabel

Attempts:

3 left

💡 Hint

Common Mistakes

Using color instead of linestyle.

Using xlabel instead of title.

Use color='r', linestyle='--' to make a red dashed line and plt.title() to add a title.

5fill in blank

hard

Fill all three blanks to create a complete plot with labels, legend, and show it.

Matplotlib

plt.plot(time, series1, label=[1])
plt.plot(time, series2, label=[2])
plt.legend()
plt.[3]()

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

A'Series 1'

B'Series 2'

Clegend

Dshow

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting quotes around label names.

Using plt.legend without parentheses.

Not calling plt.show() to display the plot.

Labels are strings for the legend. Use plt.legend() to show the legend and plt.show() to display the plot.