有没有办法修复/删除df.groupby输出的部分

Question

我想看看是否可以从df.groupby调用中删除和移动元素。

week_df = df.groupby(["day_of_the_week"])['delivery_time'].mean().sort_values(ascending = False).astype(int)
print("The mean delivery time on weekdays and weekends is:", round(week_df), "minutes")

此代码块提供以下输出：

The mean delivery time on weekdays and weekends is: day_of_the_week Weekday 28 
Weekend 22 
Name: delivery_time, dtype: int64 minutes

有没有一种方法可以同时删除"；星期的一天；在第一行中；分钟"；从最后一行到两个数字(28和22(之后，并完全删除最后一行("名称：，等等(？

Answer 1

尝试：

>>> print("The mean delivery time on weekdays and weekends is:n", (week_df.round().astype(int).astype(str)+" minutes").to_string())