Series as labeled one-dimensional array in Pandas - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a pandas Series?

A pandas Series is a one-dimensional labeled array that can hold any data type. It has labels called an index that identify each element.

beginner

How do you create a pandas Series from a list with custom labels?

Use pd.Series(data, index=labels). For example, pd.Series([10, 20, 30], index=['a', 'b', 'c']) creates a Series with values 10, 20, 30 labeled 'a', 'b', 'c'.

beginner

What is the role of the index in a pandas Series?

The index labels each element in the Series, allowing you to access data by label instead of only by position.

beginner

How can you access a value in a Series using its label?

Use the label inside square brackets, like series['label']. For example, if series has index 'a', 'b', 'c', then series['b'] returns the value labeled 'b'.

beginner

Can a pandas Series hold different data types?

Yes, a Series can hold mixed data types, but usually it holds data of a single type for efficiency.

What does a pandas Series represent?

A A labeled one-dimensional array

B A two-dimensional table

C A list without labels

D A function to plot data

A pandas Series is a one-dimensional array with labels called an index.

How do you create a Series with values [5, 10, 15] and labels ['x', 'y', 'z']?

A pd.Series(['x', 'y', 'z'], index=[5, 10, 15])

B pd.Series([5, 10, 15], index=['x', 'y', 'z'])

C pd.DataFrame([5, 10, 15], columns=['x', 'y', 'z'])

D pd.Series([5, 10, 15])

You create a Series by passing the data and the index labels as arguments.

How do you access the value labeled 'b' in a Series named s?

A s['b']

B s[b]

C s.loc[b]

D s.iloc['b']

Use s['b'] to access the value with label 'b'.

What type of data structure is a pandas Series?

A Two-dimensional matrix

B Dictionary

C Unlabeled list

D One-dimensional labeled array

A Series is a one-dimensional array with labels.

Can a pandas Series have duplicate labels in its index?

A Only for numeric labels

B No, labels must be unique

C Yes, duplicate labels are allowed

D Only if the Series is empty

A Series can have duplicate labels in its index.

Explain what a pandas Series is and how its index works.

Think about how a Series is like a list but with names for each item.

Describe how to create a pandas Series from a list with custom labels and how to access its elements.

Remember the syntax for creating and accessing Series.