[英]Sorting a pandas dataframe based on the sum of columns
I have got the following code which creates the dataframe shown in the attached image:我有以下代码创建附件图像中显示的数据框:
d = []
for i in range(5):
d.append({
'a': np.random.rand(),
'b': np.random.rand(),
'c': np.random.rand(),
'd': np.random.rand(),
})
d = pd.DataFrame(d)
I would like to sort this in ascending order based on the sum of the 'c' and 'd' columns.我想根据“c”和“d”列的总和按升序对它进行排序。
The final dataframe should still have 4 columns but just in sorted order.最终的数据框应该仍然有 4 列,但只是按排序顺序。
I know pandas.DataFrame.sort_values
exists but not sure how to use it for my case.我知道
pandas.DataFrame.sort_values
存在,但不确定如何在我的情况下使用它。
Thankyou.谢谢你。
d['e'] = d["c"] + d["d"]
d.sort_values("e").drop("e", axis=1, inplace=True)
Also, this SO link show how to do this without creating a new column https://stackoverflow.com/a/71776590/14066512此外,此 SO 链接显示如何在不创建新列的情况下执行此操作https://stackoverflow.com/a/71776590/14066512
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