Timezone handling basics in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to convert a naive datetime to UTC timezone.

Pandas

import pandas as pd
naive_dt = pd.Timestamp('2024-01-01 12:00:00')
aware_dt = naive_dt.tz_localize([1])
print(aware_dt)

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

A'UTC'

B'local'

C'GMT+5'

D'EST'

Attempts:

3 left

💡 Hint

Common Mistakes

Using tz_localize with a non-standard string like 'local' causes errors.

Confusing tz_localize with tz_convert.

Use tz_localize('UTC') to assign UTC timezone to a naive datetime.

2fill in blank

medium

Complete the code to convert a datetime from UTC to US/Eastern timezone.

Pandas

import pandas as pd
utc_dt = pd.Timestamp('2024-01-01 12:00:00', tz='UTC')
est_dt = utc_dt.tz_convert([1])
print(est_dt)

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

A'UTC'

B'Europe/London'

C'US/Eastern'

D'Asia/Tokyo'

Attempts:

3 left

💡 Hint

Common Mistakes

Trying to tz_convert a naive datetime causes errors.

Using tz_localize instead of tz_convert on aware datetime.

Use tz_convert('US/Eastern') to convert from UTC to Eastern time.

3fill in blank

hard

Fix the error in the code to localize a naive datetime to 'Europe/London'.

Pandas

import pandas as pd
naive_dt = pd.Timestamp('2024-06-01 15:00:00')
aware_dt = naive_dt.[1]('Europe/London')
print(aware_dt)

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

Atz_convert

Btz_set

Ctz_change

Dtz_localize

Attempts:

3 left

💡 Hint

Common Mistakes

Using tz_convert on naive datetime causes AttributeError.

Using non-existent methods like tz_set or tz_change.

Use tz_localize to assign a timezone to a naive datetime.

4fill in blank

hard

Fill both blanks to create a dictionary of datetimes localized to UTC and converted to Asia/Tokyo.

Pandas

import pandas as pd
naive_dt = pd.Timestamp('2024-03-10 08:00:00')
localized = naive_dt.[1]('UTC')
tokyo_dt = localized.[2]('Asia/Tokyo')
result = {'UTC': localized, 'Tokyo': tokyo_dt}
print(result)

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

Atz_localize

Btz_convert

Attempts:

3 left

💡 Hint

Common Mistakes

Using tz_convert on naive datetime causes errors.

Swapping the order of localization and conversion.

First, localize naive datetime to UTC using tz_localize. Then convert to Tokyo timezone with tz_convert.

5fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps timezone names to converted datetimes if the name length is greater than 5.

Pandas

import pandas as pd
naive_dt = pd.Timestamp('2024-01-01 12:00:00')
tz_names = ['UTC', 'US/Eastern', 'Europe/London', 'Asia/Tokyo']
localized = naive_dt.tz_localize('UTC')
dt_dict = {name: localized.tz_convert(name) for name in tz_names if len(name) [1] [2] }
print(dt_dict)

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

A>

B5

C<

D==

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' or '==' instead of '>' causes wrong filtering.

Incorrect operator or value in the condition.

The dictionary comprehension filters timezone names with length greater than 5 using len(name) > 5 and converts UTC datetime to each selected timezone.