Reputation: 81
I am calling a row from a pandas dataframe as
row = df.iloc[[i]]
customer.customer_id = row['billing_city']
When I then call `customer.billing_city I get an output like
4 Brooklyn
Name: billing_address_city, dtype: object
I would like to just have
Booklyn
for pursposes of creating objects and such
Upvotes: 3
Views: 4060
Reputation: 403218
Use df.iat
to access a single item.
df.iat[i, df.columns.get_loc('billing_city')]
Uses iat
for the same reason you've used iloc
. If your indexes are integeral, it won't matter, and you could use df.at
instead.
There's also loc
+ item
.
df.iloc[i, df.columns.get_loc('billing_city')].item()
Upvotes: 3
Reputation: 164843
Using pd.DataFrame.at
:
res = df.at[i, 'billing_city']
Assumes your dataframe is indexed by an integer range; if this isn't the case, you can use df.reset_index()
prior to using this method.
Upvotes: 1