Reading JSON (read_json) in Data Analysis Python - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the purpose of the read_json function in pandas?

The read_json function in pandas is used to load data from a JSON file or JSON string into a pandas DataFrame, making it easy to analyze and manipulate structured data.

intermediate

Which parameter in read_json helps to specify the orientation of the JSON data?

The orient parameter specifies the expected format of the JSON string or file, such as 'records', 'split', 'index', 'columns', or 'values'. This helps pandas correctly parse the JSON structure into a DataFrame.

beginner

True or False: read_json can read JSON data directly from a URL.

True. read_json can read JSON data from a local file path, a JSON string, or directly from a URL, making it flexible for different data sources.

intermediate

What happens if the JSON data is not in the expected format when using read_json?

If the JSON data format does not match the specified or default orient, pandas may raise a parsing error or produce an incorrect DataFrame. It's important to know the JSON structure or adjust the orient parameter accordingly.

beginner

Example: How do you read a JSON file named 'data.json' into a DataFrame using pandas?

Use the code: <br><pre>import pandas as pd<br>df = pd.read_json('data.json')</pre><br>This loads the JSON data from the file into the DataFrame <code>df</code>.

What does the read_json function return?

A A JSON string

B A Python dictionary

C A pandas DataFrame

D A list of JSON objects

read_json loads JSON data into a pandas DataFrame for easy data analysis.

Which orient option treats each JSON object as a row in the DataFrame?

A 'split'

B 'records'

C 'index'

D 'columns'

The 'records' orient treats each JSON object as a row, which is common for JSON arrays of objects.

Can read_json read JSON data from a web URL?

A No, only local files

B Only if the JSON is compressed

C Only if the URL is HTTPS

D Yes, it can read from URLs

read_json supports reading JSON data directly from URLs.

If JSON data is an array of arrays, which orient should you use?

A 'values'

B 'records'

C 'index'

D 'columns'

'values' orient treats JSON as an array of arrays, mapping directly to DataFrame values.

What will happen if you do not specify the correct orient for your JSON data?

A You might get a parsing error or wrong DataFrame

B The JSON file will be deleted

C pandas will guess correctly every time

D The function will return None

Incorrect orient can cause parsing errors or incorrect DataFrames.

Explain how you would use pandas to load JSON data from a URL into a DataFrame.

Think about how read_json can accept a URL string.

Describe the role of the orient parameter in read_json and why it matters.

Consider how JSON structure matches DataFrame layout.