Series - PANDAS Series

Question 1

SERIES - A Pandas Series is like a column in a table.

Answer 1

Pandas Series

Question 2

SERIES - It is a one-dimensional array holding data of any type.

Answer 2

Pandas Series

Question 3

LABELS - If nothing else is specified, the values are labeled with their index number. First value has index 0, second value has index 1 etc.

Answer 3

Labels

Question 4

LABELS - This label can be used to access a specified value.

Answer 4

Labels

Question 5

LABELS - With the index argument, you can name your own labels.

Answer 5

Create Labels

Question 6

LABELS - When you have created labels, you can access an item by referring to the label.

Answer 6

Create Labels

Question 7

LABELS - You can also use a key/value object, like a dictionary, when creating a Series.

Answer 7

Key/Value Objects as Series

Question 8

LABELS - The keys of the dictionary become the labels.

Answer 8

Keys of Dictionary

Question 9

INDEX - To select only some of the items in the dictionary, use the index argument and specify only the items you want to include in the Series.

Answer 9

Index Argument

Question 10

DATAFRAMES - Data sets in Pandas are usually multi-dimensional tables, called DataFrames.

Answer 10

DataFrames

Question 11

DATAFRAMES - Series is like a column, a DataFrame is the whole table.

Answer 11

DataFrames

Question 12

EXERCISE - True or False. A Series is like a row in a table.

Answer 12

False

Question 13

EXERCISE - Insert the correct Pandas method to create a Series.

Answer 13

pd.Series (mylist)

Question 14

EXERCISE - Insert the correct syntax to return the first value of a Pandas Series called “myseries”?

Answer 14

myseries[0]

Question 15

Insert the correct syntax to add the labels “x”, “y”, and “z” to a Pandas Series.

Answer 15

pd.Series(mylist, index = [“x”, “y”, “z”])