Importing Pandas conventions - Practice Problems & Coding Challenges

Challenge - 5 Problems

❓ Predict Output

intermediate

What is the output of this code importing pandas?

Consider the following code snippet importing pandas and creating a DataFrame. What will be the output when printing df.head()?

Pandas

import pandas as pd

data = {'Name': ['Anna', 'Bob', 'Cara'], 'Age': [28, 34, 29]}
df = pd.DataFrame(data)
print(df.head())

A

Name Age
0 Anna 28
1 Bob 34
2 Cara 29

B

Name  Age
Anna  28
Bob   34
Cara  29

C

   Name  Age
1  Anna   28
2   Bob   34
3  Cara   29

D

   Name  Age
0  Anna   28
1   Bob   34
2  Cara   29

💡 Hint

Remember that df.head() shows the first 5 rows with index and columns.

The pd.DataFrame creates a table with columns 'Name' and 'Age'. The head() method shows the first rows with their index starting at 0. The output includes the column headers and row indices.

❓ data_output

intermediate

What is the shape of the DataFrame after importing pandas and creating it?

Given this code, what is the shape (rows, columns) of the DataFrame df?

Pandas

import pandas as pd

data = {'City': ['NY', 'LA', 'Chicago', 'Houston'], 'Population': [8.4, 4.0, 2.7, 2.3]}
df = pd.DataFrame(data)
print(df.shape)

A (4, 2)

B (2, 4)

C (3, 2)

D (4, 1)

💡 Hint

Shape shows (number of rows, number of columns).

The dictionary has 4 cities, so 4 rows, and 2 keys, so 2 columns. The shape is (4, 2).

🔧 Debug

advanced

Which option causes an error when importing pandas?

Which of the following import statements will cause an error?

A import pandas

B from pandas import DataFrame

C import panda as pd

D import pandas as pd

💡 Hint

Check the spelling of the library name.

Option C uses 'panda' instead of 'pandas', which is not a valid module name and causes a ModuleNotFoundError.

🧠 Conceptual

advanced

Why do we use import pandas as pd instead of just import pandas?

What is the main reason for importing pandas with an alias like pd?

A To shorten the code and make it easier to type pandas functions.

B Because pandas cannot be imported without an alias.

C To avoid conflicts with other libraries named pandas.

D To automatically load all pandas functions into the global namespace.

💡 Hint

Think about typing convenience and code readability.

Using as pd creates a short alias so you can write pd.DataFrame() instead of pandas.DataFrame(), making code shorter and easier to read.

🚀 Application

expert

What is the output of this code using pandas import conventions?

Given the code below, what will be printed?

Pandas

import pandas as pd

s = pd.Series([10, 20, 30], index=['a', 'b', 'c'])
print(s['b'])

A 10

B 20

C b

D KeyError

💡 Hint

Accessing a Series by index label returns the value at that label.

The Series s has values 10, 20, 30 with labels 'a', 'b', 'c'. Accessing s['b'] returns 20.