January 2020
Beginner to intermediate
432 pages
11h 24m
English
Content preview from Python for Finance Cookbook
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How to do it...
Execute the following steps to download data from Quandl.
- Import the libraries:
import pandas as pd import quandl
- Authenticate using the personal API key:
QUANDL_KEY = '{key}'quandl.ApiConfig.api_key = QUANDL_KEY
You need to replace {key} with your own API key.
- Download the data:
df_quandl = quandl.get(dataset='WIKI/AAPL', start_date='2000-01-01', end_date='2010-12-31')
We can inspect the downloaded data:
The result of the request is a DataFrame (2,767 rows) containing the daily OHLC prices, the adjusted prices, dividends, and potential stock splits.
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