Hello,
Is there a way to add a new variable on Stata that has different dimensions than the dataset that is in use, without first clearing the variable list?
For example,
Code:
use pharmacy_small
// calculate probability of each class on the test set
// '[:, 1]' at the end extracts the probability for each pharmacy to be under compliance
python: Y_mnb_score = mnb.fit(X_train, np.ravel(Y_train)).predict_proba(X_test)[:, 1]
// transfer the python variables Y_mnb_score as a Stata variable
python: Data.setObsTotal(len(Y_mnb_score))
python: Data.addVarFloat('mnbScore')
python: Data.store(var = 'mnbScore', obs = None, val = Y_mnb_score) // error: 'number of observations to set exceeds the limit of observations'
The error doesn't pop up when I first clear off the variables from the pharmacy_small data set and then execute the lines of python codes on Stata, but when I try to execute the python portion without first clearing out the dataset pharmacy_small, the error appears. I think the error pops up because the dimension of the variable 'mnbScore' that I am trying to add does not match with the dimension of the variables from the pharmacy_small dataset.
Is there a way to add a new variable on Stata that has different dimensions than the dataset that is in use, without first clearing the variable list?
Thank you,
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