Date formatting with mdates in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the date formatter from matplotlib.dates.

Matplotlib

from matplotlib.dates import [1]

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

ADateFormatter

Bdateparser

CDateLocator

Ddateformat

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'dateparser' which is not part of matplotlib.dates.

Confusing DateLocator with DateFormatter.

The DateFormatter class is used to format dates on matplotlib axes.

2fill in blank

medium

Complete the code to set the x-axis major formatter to display dates as 'Year-Month'.

Matplotlib

ax.xaxis.set_major_formatter([1]('%Y-%m'))

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Amdates.DateFormatter

Bmdates.DateConverter

Cmdates.AutoDateFormatter

Dmdates.DateLocator

Attempts:

3 left

💡 Hint

Common Mistakes

Using DateLocator instead of DateFormatter.

Using AutoDateFormatter which auto-adjusts format but not with a fixed pattern.

DateFormatter formats dates according to the given string pattern.

3fill in blank

hard

Fix the error in the code to import matplotlib.dates as mdates.

Matplotlib

import matplotlib.[1] as mdates

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Adatetime

Bdate

Cdates

Ddateutil

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'date' which is singular and incorrect.

Using unrelated modules like 'datetime' or 'dateutil'.

The correct submodule name is dates in matplotlib.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps dates to formatted strings using DateFormatter.

Matplotlib

formatted_dates = {date: [1]('%Y-%m-%d').format_data(date) for date in dates if date [2] datetime.date(2023, 1, 1)}

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Amdates.DateFormatter

Bmdates.DateLocator

C>

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using DateLocator instead of DateFormatter for formatting.

Using '<' which filters dates before Jan 1, 2023.

Use DateFormatter to format dates and the '>' operator to filter dates after Jan 1, 2023.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps date strings to datetime objects parsed with strptime.

Matplotlib

date_dict = [1]([2]: datetime.datetime.strptime([2], '%Y-%m-%d') for [2] in date_strings)

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Adict

Bdate_str

Cdate_strings

Dlist

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'list' instead of 'dict' for the container.

Using 'date_strings' as the loop variable which is the list, not the item.

Use dict to create the dictionary, and date_str as the loop variable for date strings.