Extracting day of week and hour in Pandas - Cheat Sheet & Quick Revision

Recall & Review

beginner

What pandas function helps convert a column to datetime format?

The function pd.to_datetime() converts a column or series to datetime format, enabling date and time operations.

beginner

How do you extract the day of the week from a pandas datetime column?

Use the .dt.day_name() accessor on a datetime column to get the day of the week as a string, like 'Monday' or 'Tuesday'.

beginner

How can you extract the hour from a pandas datetime column?

Use the .dt.hour accessor on a datetime column to get the hour as an integer from 0 to 23.

intermediate

Why is it useful to extract day of week and hour from datetime data?

Extracting day of week and hour helps find patterns like busiest hours or weekdays, which is useful for analysis and decision making.

intermediate

What is the difference between .dt.dayofweek and .dt.day_name() in pandas?

.dt.dayofweek returns an integer (0=Monday, 6=Sunday), while .dt.day_name() returns the full weekday name as a string.

Which pandas accessor extracts the hour from a datetime column?

A .dt.hour

B .dt.minute

C .dt.day_name()

D .dt.month

The .dt.hour accessor extracts the hour part from a datetime column.

What does .dt.day_name() return?

A Integer representing day of week

B Hour of the day

C Full name of the weekday as a string

D Month name

.dt.day_name() returns the weekday name like 'Monday' or 'Friday'.

How do you convert a string column to datetime in pandas?

A pd.to_datetime()

B pd.to_string()

C pd.to_numeric()

D pd.to_list()

Use pd.to_datetime() to convert strings to datetime format.

What integer does .dt.dayofweek return for Sunday?

A 7

B 5

C 0

D 6

.dt.dayofweek returns 6 for Sunday (0 is Monday).

Why extract day of week and hour from datetime data?

A To change data types

B To find patterns in time-based data

C To sort data alphabetically

D To remove missing values

Extracting day and hour helps find time patterns like peak hours or busy weekdays.

Explain how to extract the day of week and hour from a pandas datetime column.

Think about datetime conversion and using .dt accessor.

Describe why extracting day of week and hour can be useful in data analysis.

Consider how time affects behavior or events.