Hi guys,
is there a way to read a .csv into the reserach notebook? I tried via pandas (df = pandas.read_csv(r'c:\..csv')) which works for my jupyter notebook in Conda but it does not work in Quantconnect's jupyter notebook.
Any other way to get this data in (it's a non-US security hence .csv)?
Thanks for any hints in advance.
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Hi Rainer,
We would first need to upload that file to Dropbox, and make the file public. Then we need to Download it using our QuantBook object. If reading the csv into a pandas DataFrame, we then need to pass our csv file object into StringIO. So it would look like this:
from io import StringIO
import pandas as pd
qb = QuantBook()
csv = qb.Download('https://www.dropbox.com/s/8v6z949n25hyk9o/custom_weather_data.csv?dl=1')
df = pd.DataFrame(StringIO(csv))
Please see the notebook in the attached backtest for reference. On how to do this in the main algorithm, please see our docs here.
Best,
Shile Wen
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
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