Nested dictionary in csv convert to pandas dataframe

Question

I tried to use json normalize in nested dictionary as showed in image A and it show error string indices must be integers . Here is my code

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from pandas.io.json import json_normalize

df=pd.read_csv('applied_work.csv')
df_=df.loc[:,['job_id', 'user_id', 'job_title', 'city','state']]
df_try=pd.json_normalize(data=df_try, record_path='job_title')

Answer 1

You may use DataFrame.from_dict

And pay attention in the orient Parameter:

orient{'columns', 'index'}, default 'columns'

The “orientation” of the data. If the keys of the passed dict should be the columns of the resulting DataFrame, pass 'columns' (default). Otherwise if the keys should be rows, pass 'index'.