pandas Integer and NA


Pandas don't support missing in attributes of type integer. For example if you have missings in the grade column:

df= pd.read_csv("data.csv", dtype={'grade': int}) 
error: Integer column has NA values

In this case you just should use float instead of integers or set the object dtype.