October 2014
Beginner to intermediate
348 pages
6h 55m
English
Content preview from Python Data AnalysisBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Reading and writing JSON with pandas
We can easily create a pandas Series from the JSON string in the previous example. The pandas read_json() function can create a pandas Series or pandas DataFrame.
The following example code can be found in pd_json.py of this book's code bundle:
import pandas as pd
json_str = '{"country":"Netherlands","dma_code":"0","timezone":"Europe\/Amsterdam","area_code":"0","ip":"46.19.37.108","asn":"AS196752","continent_code":"EU","isp":"Tilaa V.O.F.","longitude":5.75,"latitude":52.5,"country_code":"NL","country_code3":"NLD"}'
data = pd.read_json(json_str, typ='series')
print "Series\n", data
data["country"] = "Brazil"
print "New Series\n", data.to_json()We can either specify a JSON string or the path of a JSON file. Call ...
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