我的 Pandas 数据框 (df) 的行索引是[0015, 0030, 0045, 0100, 0115, 0130, 0145, 0200, 0215, 0230.....2345]
[0015, 0030, 0045, 0100, 0115, 0130, 0145, 0200, 0215, 0230.....2345]
如何使用索引的前两个元素df.groupby.['TIME']进行分组(其中“TIME”是行索引的列标题)?
df.groupby.['TIME']
IE。我想分组[00, 01, 02, 03, 04, 05,.......23]
[00, 01, 02, 03, 04, 05,.......23]
python-3.x pandas pandas-groupby
pandas ×1
pandas-groupby ×1
python-3.x ×1