我是新来的堆栈溢出,所以任何社区的最佳实践是受欢迎的。你知道吗
#aggregate rides and average of fares
combo_grouped_df =combo_df.groupby(['city','type'])
#combo_grouped_df.set_index('city') does not work!
combo_grouped_df.head()
avg_fare =combo_grouped_df['fare'].mean()
total_rides =combo_grouped_df['ride_id'].count()
city_type = combo_grouped_df['type']
summary_df = pd.DataFrame({"Average Fare": avg_fare,
"Number of Rides": total_rides,
"Type": combo_grouped_df['type']}) # how to get type in this dict?????
summary_df.head()}
结果:
Average Fare Number of Rides \
city type
Amandaburgh Urban 24.641667 18
Barajasview Urban 25.332273 22
Barronchester Suburban 36.422500 16
Bethanyland Suburban 32.956111 18
Bradshawfurt Rural 40.064000 10
Type
city type
Amandaburgh Urban ((Amandaburgh, Urban), [Urban, Urban, Urban, U...
Barajasview Urban ((Barajasview, Urban), [Urban, Urban, Urban, U...
Barronchester Suburban ((Barronchester, Suburban), [Suburban, Suburba...
Bethanyland Suburban ((Bethanyland, Suburban), [Suburban, Suburban,...
Bradshawfurt Rural ((Bradshawfurt, Rural), [Rural, Rural, Rural, ...
我想把goupby'type'索引移到'type'所在的列。或获取“Type”以显示为不带括号的单个字符串(例如“Urban”)。你知道吗
df.set_index = False
不起作用,因为我想保留“city”索引。
Groupby的Groupby似乎也不起作用。
任何帮助都将不胜感激。你知道吗
为清晰起见编辑:我希望按“城市”分组并将其用作索引。我希望在数据帧中有'type',而不是在索引中。当前“Type”返回一个值列表,这些值本质上与重复的值相同。你知道吗
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