我在excel中有数据集,它没有出色的表格格式。以下是样本:
Country Male Female
2010 2011 2012 2013 2014 2010 2011 2012 2013 2014
AFG 182 134 94 87 85 120 150 95 75 92
BLZ 200 250 150 125 45 210 140 125 101 21
我想用Python读取这些数据并将其放入pandas数据框中,如:
Country Year Male Female
AFG 2010 182 120
...
在没有操作原始数据集的情况下,Python / Pandas中是否有任何方法可以解决这个问题?
您可以在此处设置示例数据集:
https://expirebox.com/download/173bc0880dd9da56ccff2796aa1274ed.html
由于
答案 0 :(得分:2)
解决方案 - 由pandas native excel reader选项提供。
在这里找到了这个技术: reading excel sheet as multiindex dataframe through pd.read_excel()
df = pd.read_excel('Sample.xlsx',header=[0,1],index_col=[0,1])
给出:
Country Male Female
1990 2000 2010 2015 2016 1990 2000 2010 2015 2016
AFG Afghanistan 127.0000 96.5000 70.0000 58.7000 56.9000 113.2000 84.7000 61.2000 50.8000 49.2000
ALB Albania 38.1000 25.5000 16.4000 13.7000 13.3000 31.0000 20.6000 13.2000 11.1000 10.7000
DZA Algeria 45.0000 36.7000 24.9000 23.2000 22.9000 37.5000 31.1000 22.0000 20.5000 20.2000
AND Andorra 8.0000 4.3000 3.2000 2.7000 2.7000 6.6000 3.7000 2.7000 2.3000 2.3000
AGO Angola 140.6000 132.7000 82.4000 62.5000 60.0000 120.9000 112.8000 68.0000 51.0000 49.0000
并完成所需的布局使用stack()
df.stack()
Country Female Male
AFG Afghanistan 1990 113.2000 127.0000
2000 84.7000 96.5000
2010 61.2000 70.0000
2015 50.8000 58.7000