fetchdf() and fetchnumpy() do not work for all data types #62
Description
Describe the bug
fetchall() will return all the data by rows and it works fine.
However fetchnumpy() and fetchdf() work only with INTEGERS, FLOATS and BOOLEAN.
I tried UUID, STRING, VARCHAR, CHAR and all return the same error.
To Reproduce
import monetdbe
if __name__ == "__main__":
conn = monetdbe.connect(':memory:')
if not conn:
print('Could not access the memory')
c = conn.cursor()
c.execute("CREATE TABLE charachters(j STRING);")
c.execute("INSERT INTO charachters VALUES ('one'), ('two'), ('three');")
c.execute("SELECT * FROM charachters;")
for r in c.fetchall():
print(r)
c.execute("SELECT * FROM charachters")
print(c.fetchdf())
c.execute("SELECT * FROM charachters")
print(c.fetchnumpy())
c.close()
conn.close()
Expected behavior
Print the selected fields
Software versions
- OS and version: Ubuntu 19.04
- Python version: 3.8
- MonetDBe-Python version: 0.7
Additional context
The error message is:
ValueError: itemsize cannot be zero in type