[英]How do I sort with sort_values() by 2 multiindex columns in Pandas
I'm trying to sort a DataFrame with MultiIndex
columns by 2 columns. 我正在尝试按2列对具有
MultiIndex
列的DataFrame进行排序。 Can't reach the second column. 无法到达第二列。
Tried passing it as a list of lists but got an error. 尝试将其作为列表列表传递,但出现错误。 Tried passing it as a tuple also got an error
尝试将其作为元组传递也出现错误
sorted_df = df.sort_values(by=([('Measurements','Name')], [('Measurements', 'DateCreated')]), ascending=True, inplace= False)
expected result: data frame sorted by name
then by date
. 预期结果:数据框按
name
排序,然后按date
排序。 Getting key error 获取关键错误
Does this work? 这样行吗?
sorted_df = df.sort_values(by=[('Measurements','Name'),
('Measurements', 'DateCreated')],
ascending=True,
inplace= False)
您可能正在寻找groupby功能。
sorted_df = df.groupby(['Name', 'DateCreated'])
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