I\'m reading data from a database (50k+ rows) where one column is stored as JSON. I want to extract that into a pandas dataframe. The snippet below works fine but is fairly
json_normalize takes an already processed json string or a pandas series of such strings.
pd.io.json.json_normalize(df.data.apply(json.loads))
setup
import pandas as pd import json df = pd.read_csv('http://pastebin.com/raw/7L86m9R2', \ header=None, index_col=0, names=['data'])