+ 1
using pandas
using pandas import pandas as pd import numpy as np orders = pd.read_table('http://bit.ly/chiporders') orders.item_name.nunique() orders.head() orders.iloc[pd.Index(orders['order_id']).get_indexer(['1','1','2'])] Find five most commonly ordered (don't take quantity into account) items along with a number of orders; Can you please tell how to fix?
1 Respuesta
+ 1
df_top_freq = orders.groupby(['order_id', 'item_name'])['order_id'].agg(
{"code_count": len}).sort_values(
"code_count", ascending=False).head(n).reset_index()