ValueError: The indices for endog and exog are not aligned



I am getting above error when I am running an iteration using FOR loop to build multiple models. First two models having similar data sets build fine. While building third model I am getting this error. The code where error is thrown is when I call sm.logit() using Statsmodel package of python:
y = y_mort.convert_objects(convert_numeric=True)

#Building Logistic model_LSVC
print("Shape of y:", y.shape, " &&Shape of X_selected_lsvc:", X.shape)
print("y values:",y.head())
logit = sm.Logit(y,X,missing='drop')

The error that appears:

D:\Anaconda3\lib\site-packages\statsmodels\base\data.py in _check_integrity(self)
    450                 (hasattr(endog, 'index') and hasattr(exog, 'index')) and
    451                 not self.orig_endog.index.equals(self.orig_exog.index)):
--> 452             raise ValueError("The indices for endog and exog are not aligned")
    453         super(PandasData, self)._check_integrity()
    454

ValueError: The indices for endog and exog are not aligned

Try converting y into a list before the sm.Logit() line.
y = list(y)