String manipulations in Pandas DataFrame

Load JSON String into Pandas DataFrame

Last Updated : 18 Aug, 2020

Let us see how can we use a dataset in JSON format in our Pandas DataFrame. This can be done using the built-in read_json() function. It enables us to read the JSON in a Pandas DataFrame.

Example : Consider the JSON file path_to_json.json :

path_to_json.json

Python3

# importing the module
import pandas

# reading the file
data = df.read_json("path_to_json.json")

# displaying the DataFrame
print(data)

Output :

Now, the final data frame also depends on the type of the JSON file. So there are mainly 3 types of orientations in JSON :

Index Oriented
Value-Oriented
Column Oriented

1. Index Oriented

This is an example of an Index Oriented JSON file.

Python3

# importing the module
import pandas

# reading the file
data = df.read_json("sample.json")

# displaying the DataFrame
print(data)

Output :

2. Value-Oriented

This is an example of a Value-Oriented JSON file.

Python3

# importing the module
import pandas

# reading the file
data = df.read_json("sample.json")

# displaying the DataFrame
print(data)

Output :

3. Column Oriented

This is an example of a Column-oriented JSON file.

Python3

# importing the module
import pandas

# reading the file
data = df.read_json("sample.json")

# displaying the DataFrame
print(data)

Output :

String manipulations in Pandas DataFrame

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