pandas for Python - A Quick Guide - Processing-Date/Time Format

This video tutorial covers datetime data processing using pandas. It begins with converting string data to datetime objects, then explores working with timestamp objects and their attributes. The tutorial also demonstrates applying functions on a series of timestamps, filtering and reindexing dataframes using datetime columns, and performing arithmetic operations on datetime data. The video uses the UFO report dataset and an employee dataset to illustrate these concepts.

What is one of the biggest challenges for programmers when working with datetime data?

• Formatting numbers

• Handling missing values

• Working with dates and times

• Sorting data

Which pandas function is used to convert strings to datetime objects?

• to_datetime

• convert_to_date

• datetime_convert

• string_to_date

What attribute would you use to extract the year from a timestamp object?

• timestamp.year

• year()

• get_year()

• year

How can you access timestamp attributes for a series in pandas?

• Using .date

• Using .time

• Using .dt

• Using .ts

What is the result of combining year, month, and day columns using pandas?

• A timestamp object

• A datetime column

• A string column

• A list of dates

What is the advantage of reindexing a data frame with a datetime column?

• It automatically sorts the data

• It converts all columns to datetime

• It allows for easier and more efficient selection operations

• It makes the data frame smaller

Which method is used to set a column as the index in a pandas data frame?

• make_index()

• index_set()

• set_index()

• index_column()

What type of object is created when subtracting two datetime columns?

• A timedelta object

• A timestamp object

• A date object

• A datetime object

How can you calculate the number of days between two dates in pandas?

• Using .dt.days

• Using .days_between()

• Using .days_diff()

• Using .date_diff()

What is the purpose of using the .dt accessor in pandas?

• To access categorical data

• To access datetime attributes and methods

• To access string data

• To access numerical data