Highlighting date ranges in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the matplotlib plotting module.

Matplotlib

import [1].pyplot as plt

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Apandas

Bnumpy

Cseaborn

Dmatplotlib

Attempts:

3 left

💡 Hint

Common Mistakes

Importing numpy or pandas instead of matplotlib.

Forgetting to import pyplot submodule.

We import matplotlib.pyplot as plt to create plots.

2fill in blank

medium

Complete the code to create a date range from January 1, 2023 to January 10, 2023 using pandas.

Matplotlib

dates = pd.date_range(start='2023-01-01', end=[1])

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A'2023-01-10'

B'2023-01-15'

C'2023-01-05'

D'2023-02-01'

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing a date outside the desired range.

Using wrong date format.

The end parameter defines the last date in the range. We want January 10, 2023.

3fill in blank

hard

Fix the error in the code to highlight the date range between '2023-01-03' and '2023-01-06' on the plot.

Matplotlib

plt.axvspan(pd.to_datetime('2023-01-03'), [1], color='yellow', alpha=0.3)

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A'2023-01-06'

Bpd.to_datetime('2023-01-06')

Cdatetime('2023-01-06')

Dpd.date_range('2023-01-06')

Attempts:

3 left

💡 Hint

Common Mistakes

Passing date strings directly without conversion.

Using wrong datetime conversion functions.

The axvspan function needs datetime objects for the start and end. We convert the end date string to datetime with pd.to_datetime.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each date to its value only if the value is greater than 50.

Matplotlib

highlighted = {date: value for date, value in data.items() if value [1] 50 and date [2] pd.to_datetime('2023-01-05')}

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A>

B<

C>=

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong comparison operators.

Mixing up date and value comparisons.

We want values greater than 50 and dates before January 5, 2023, so use > and <.

5fill in blank

hard

Fill all three blanks to create a plot with highlighted date ranges and labels.

Matplotlib

plt.plot(dates, values)
plt.axvspan([1], [2], color='green', alpha=0.2)
plt.text([3], max(values), 'Highlight', verticalalignment='bottom')
plt.show()

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Apd.to_datetime('2023-01-02')

Bpd.to_datetime('2023-01-07')

Cpd.to_datetime('2023-01-03')

Dpd.to_datetime('2023-01-05')

Attempts:

3 left

💡 Hint

Common Mistakes

Using dates outside the data range.

Placing label outside the plot area.

The highlighted range is from January 5 to January 7, and the label is placed at January 3.