input: Write a python function to convert a JSON object to a pandas DataFrame.
  assert json_to_dataframe({"name": "John", "age": 30, "job": "Engineer", "salary": 5000}).equals(pd.DataFrame({"name": ["John"], "age": [30], "job": ["Engineer"], "salary": [5000]}))
  assert json_to_dataframe({"name": "Alice", "age": 28, "job": "Doctor", "salary": 7000}).equals(pd.DataFrame({"name": ["Alice"], "age": [28], "job": ["Doctor"], "salary": [7000]}))
  assert json_to_dataframe({"name": "Bob", "age": 25, "job": "Artist", "salary": 4500}).equals(pd.DataFrame({"name": ["Bob"], "age": [25], "job": ["Artist"], "salary": [4500]}))
output: import pandas as pd
  
  def json_to_dataframe(json_obj):
      return pd.DataFrame([json_obj])