Date locators for tick spacing in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the correct date locator for setting tick spacing by days.

Matplotlib

from matplotlib.dates import [1]

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

AMinuteLocator

BHourLocator

CSecondLocator

DDayLocator

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing HourLocator or MinuteLocator which set ticks by smaller time units.

Using SecondLocator which is for seconds, not days.

The DayLocator is used to set tick marks spaced by days on a date axis.

2fill in blank

medium

Complete the code to create a date locator that places ticks every 3 days.

Matplotlib

locator = [1](interval=3)

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

ADayLocator

BMonthLocator

CWeekdayLocator

DHourLocator

Attempts:

3 left

💡 Hint

Common Mistakes

Using MonthLocator which controls ticks by months.

Using WeekdayLocator which is for specific weekdays.

DayLocator with interval=3 places ticks every 3 days.

3fill in blank

hard

Fix the error in the code to set major ticks every Monday using the correct weekday locator.

Matplotlib

from matplotlib.dates import WeekdayLocator, MO
locator = WeekdayLocator(byweekday=[1])

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

AMO

BSU

C0

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Using numbers like 0 or 1 instead of the constant MO.

Using SU which is the wrong day.

The WeekdayLocator uses constants like MO to specify weekdays.

4fill in blank

hard

Fill both blanks to create a locator that sets ticks every 2 weeks on Wednesday.

Matplotlib

from matplotlib.dates import WeekdayLocator, [1]
locator = WeekdayLocator(byweekday=[2], interval=2)

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

AWE

BTH

DFR

Attempts:

3 left

💡 Hint

Common Mistakes

Using different weekdays for import and argument.

Using weekdays other than Wednesday.

Import WE and use it as the byweekday argument to set ticks every 2 weeks on Wednesday.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps dates to values only for dates after January 1, 2020.

Matplotlib

filtered_data = {date: value for date, value in data.items() if date [1] datetime(2020, 1, 1) and value [2] 0 and isinstance(value, [3])}

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A>

B>=

Cint

Dfloat

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' or '<=' which would select wrong dates.

Using wrong type like float instead of int.

The comprehension filters dates greater than January 1, 2020, values greater or equal to 0, and values that are integers.