Question

我在下面输入了数据。我想将此数据转换为输出数据。我正在使用python语言以及numpy和pandas。请帮我解决。

输入数据：

        Product                 year    Total sale
    0   Aviation Turbine Fuel   2000    63131
    1   Aviation Turbine Fuel   2001    47453
    2   Aviation Turbine Fuel   2002    52839
    3   Aviation Turbine Fuel   2003    64041
    4   Aviation Turbine Fuel   2004    66825
    5   Aviation Turbine Fuel   2005    64335
    6   Aviation Turbine Fuel   2006    63778
    7   Aviation Turbine Fuel   2007    68938
    8   Aviation Turbine Fuel   2008    68935
    9   Aviation Turbine Fuel   2009    82631
    10  Aviation Turbine Fuel   2010    101314
    11  Aviation Turbine Fuel   2011    109808
    12  Aviation Turbine Fuel   2012    115786
    13  Aviation Turbine Fuel   2013    123527
    14  Aviation Turbine Fuel   2014    139404

这是我要打印的输出。

输出：

Product                 Year        Avg
Aviation Turbine Fuel   2010-2014   117967.8
Aviation Turbine Fuel   2005-2009   69723.4
Aviation Turbine Fuel   2000-2004   58857.8

Answer 1

尝试使用pd.cut()和df.groupby()

bins=[1999,2004,2009,2014]
labels=['2000-2004','2005-2009','2010-2014']
df['Year']=pd.cut(df.year,bins,labels=labels)
print(df.groupby('Year',as_index=False).agg({'Product':'first','Total sale':'mean'}))

输出：

        Year                Product  Total sale
0  2000-2004  Aviation Turbine Fuel     58857.8
1  2005-2009  Aviation Turbine Fuel     69723.4
2  2010-2014  Aviation Turbine Fuel    117967.8

如何在python中将离散数据转换为间隔？

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