Analyzing DataFrames - PANDAS (Analyzing DataFrames)

Question 1

One of the most used method for getting a quick overview of the DataFrame, is the head() method.

Answer 1

Viewing the Data

Question 2

The head() method returns the headers and a specified number of rows, starting from the top.

Answer 2

Viewing the Data

Question 3

if the number of rows is not specified, the head() method will return the top 5 rows.

Answer 3

print(df.head())

Question 4

There is also a tail() method for viewing the last rows of the DataFrame.

Answer 4

print(df.tail())

Question 5

The tail() method returns the headers and a specified number of rows, starting from the bottom.

Answer 5

print(df.tail())

Question 6

The DataFrames object has a method called info(), that gives you more information about the data set.

Answer 6

print(df.info())

Question 7

The info() method also tells us how many Non-Null values there are present in each column

Answer 7

Null Values

Question 8

Empty values, or Null values, can be bad when analyzing data, and you should consider removing rows with empty values.

Answer 8

Null Values

Question 9

Exercise - What is a correct syntax for printing the first 10 rows of a DataFrame?

Answer 9

print(df.head(10))

Question 10

Exercise - What is a correct syntax for printing the last 10 rows of a DataFrame?

Answer 10

print(df.tail(10))

Question 11

Exercise - True or False. If number of rows is not specified, the tail() method will return all rows.

Answer 11

False