Load JSON String into Pandas DataFrame
Last Updated :
18 Aug, 2020
Improve
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
# 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.
# 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.
# 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.
# importing the module import pandas # reading the file data = df.read_json("sample.json") # displaying the DataFrame print(data) |
Output :
