`def adaptArray(self, arr): out = io.BytesIO() numpy.save(out, arr) out.seek(0) return sqlite3.Binary(out.read())
def convert_array(self, text):
out = io.BytesIO(text)
out.seek(0)
return numpy.load(out)
def SaveToDatabase(self):
#try:
connection = sqlite3.connect('efit.db')
cursor = connection.cursor()
cursor.execute("DROP TABLE IF EXISTS MlamMmueMrhoMdam")
cursor.execute("CREATE TABLE MlamMmueMrhoMdam(x INT, y INT, Mlam BLOB, Mmue BLOB, Mrho BLOB, Mdam BLOB)")
cursor.execute("INSERT INTO MlamMmueMrhoMdam( x, y, Mlam, Mmue, Mrho, Mdam) VALUES(?,?,?,?,?,?)", ( len(self.Mlam),
len(self.Mlam[0]),
sqlite3.register_adapter(self.Mlam, self.adaptArray(self.Mlam )),
sqlite3.register_adapter( self.Mmue, self.adaptArray(self.Mmue) ),
sqlite3.register_adapter(self.Mrho, self.adaptArray(self.Mrho) ) ,
sqlite3.register_adapter( self.Mdam, self.adaptArray(self.Mdam) ) ))
connection.commit()
#except Exception as e:
#print e
#finally:
connection.close()`
I get sqlite3.register_adapter(self.Mlam, self.adaptArray(self.Mlam )), TypeError: unhashable type: 'numpy.ndarray'
I tried to make the 2D array it hashable (http://ift.tt/1JbrgU5) ... it does not work sisnce it does not return an Array, and if I return it, it's again unhashable
Can someone cut the forest down from before my eyes? Help...
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