[英]Sum based on grouping in pandas dataframe?
I have a pandas dataframe df which contains: 我有一个熊猫数据框df,其中包含:
major men women rank
Art 5 4 1
Art 3 5 3
Art 2 4 2
Engineer 7 8 3
Engineer 7 4 4
Business 5 5 4
Business 3 4 2
Basically I am needing to find the total number of students including both men and women as one per major regardless of the rank column. 基本上,我需要找到每个专业的男女学生总数,而不考虑排名列。 So for Art for example, the total should be all men + women totaling 23, Engineer 26, Business 17. 例如,对于Art来说,总数应该是23位男性和女性,工程师26位,业务17位。
I have tried 我努力了
df.groupby(['major_category']).sum()
But this separately sums the men and women rather than combining their totals. 但这是将男女分开汇总,而不是合计总数。
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