json to pandas dataframe

# Basic syntax:
dataframe = pd.DataFrame.from_dict(json_data, orient="index")

# Example usage:
import json
import pandas as pd

# Make json-formatted string:
json_string = '{ "name":"John", "age":30, "car":"None" }'
your_json = json.loads(json_string)
print(your_json)
--> {'name': 'John', 'age': 30, 'car': 'None'}

# Convert to pandas dataframe:
dataframe = pd.DataFrame.from_dict(your_json, orient="index")
print(dataframe)
         0
name  John
age     30
car   None

# Note, orient="index" sets the keys as rownames. orient="columns" is
#	the default and is supposed to set the keys as column names, but I
#	couldn't seem to get it to work with this example>>> df.to_json(orient='records')
'[{"col 1":"a","col 2":"b"},{"col 1":"c","col 2":"d"}]'
df = pd.read_json('data.json') json_to_pandasdata_df = pd.read_json('C:/Users/Alberto/nutrients.json', lines=True)