When you specify one equity and one field, data.history
returns a Pandas Series, which is basically a 1-dimensional version of a DataFrame. If you want to create a DataFrame, you need to add an additional dimension.
You could do this by specifying more than one equity or more than one field in the call to data.history
. Or, if you don't actually need any more data, you could just do something like this, putting the Series into a list to create the additional dimension:
pd.DataFrame([data.history(sid(3149), 'open', 10, '1d')])
I'm curious, why do you want this data in the form of a DataFrame as opposed to a Series?
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