Reputation: 75
I was testing a simple connection from an Amazon Redshift database to my local database using PostgreSQL. I wrote a query to obtain a table from the database, and converted that to a pandas DataFrame. Now, whenever I want to apply some functions on the DataFrame objects, I get the following error. I have tried several times to modify it, and looked up a lot of solutions, but can't seem to work around with it.
cur.execute("QUERY for PostgreSQL")
rows = cur.fetchall()
print("Received as rows")
col_names = []
for i in cur.description:
col_names.append(i[0])
df = pd.DataFrame.from_records(rows, columns = col_names)
df.values()
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-16-8e9714b76ea1> in <module>()
----> df.values()
TypeError: 'numpy.ndarray' object is not callable
Upvotes: 6
Views: 11560
Reputation: 7886
As @jezrael pointed out in the comments,
df.values
is not a function, so you don't need to call it. Just use df.values
instead of df.values()
.
Upvotes: 15