[英]Python pandas dataframe select rows from columns
In an Excel sheet with columns Rainfall / Year / Month, I want to sum rainfall data per year. 在带有“降雨/年/月”列的Excel工作表中,我想对每年的降雨数据求和。 That is, for instance, for the year 2000, from month 1 to 12, summing all the Rainfall cells into a new one.
例如,对于2000年,从第1个月到第12个月,将所有降雨单元合计为一个新单元。 I tried using pandas in Python but cannot manage (just started coding).
我尝试在Python中使用熊猫,但无法管理(刚刚开始编码)。 How can I proceed?
我该如何进行? Any help is welcome, thanks!
欢迎任何帮助,谢谢!
Here the head of the data (which has been downloaded): 这里是数据头(已下载):
rainfall (mm) \tyear month country iso3 iso2
0 120.54000 1990 1 ECU NaN NaN
1 231.15652 1990 2 ECU NaN NaN
2 136.62088 1990 3 ECU NaN NaN
3 203.47653 1990 4 ECU NaN NaN
4 164.20956 1990 5 ECU NaN NaN
If you just want the year 2000, use 如果您只想要2000年,请使用
df[df['\tyear'] == 2000]['rainfall (mm)'].sum()
Otherwise, jezrael's answer is nice because it sums rainfall (mm)
for each distinct value of \\tyear
. 否则,jezrael的答案很好,因为对于每个
\\tyear
不同值,jezrael的总rainfall (mm)
为\\tyear
。
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