Before it failed on integer columns with missing values (with the error ""Integer column has NA values in column ") because infer_withpandas was False and pandas doesn't support missing values in integer.
Now, int are casted to np.object because they can have missing values but are still interpreted as integer by neo4j
Before it failed on integer columns with missing values (with the error ""Integer column has NA values in column ") because infer_withpandas was False and pandas doesn't support missing values in integer. Now, int are casted to np.object because they can have missing values but are still interpreted as integer by neo4j