将相似的行合并为 python 数据框中的一行

Question

我有一些数据框如下，我想做的是将行与相同的 "yyyymmdd" 和 "hr " 成一行。（有几行具有相同的 "yyyymmdd" 和 "hr" ）

       yyyymmdd  hr ariel cat kiki mmax vicky gaolie shiu nick ck
10   2015-12-27   9     0   0    0    0     0      0    0   23  0
181  2015-12-27  10     0   0    0    0     0      0    0    2  0
65   2015-12-27  11     0   0    0    0     0      0    0   20  0
4    2015-12-27  12     0   0    0    0     0      0    0    4  0
0    2015-12-27  17     0   0    0    0     0      0    0    2  0
141  2015-12-27  19     1   0    0    0     0      0    0    0  0
160  2015-12-28   8     0   8    0    0     0      0    0    0  0
82   2015-12-28   9     0   0    0    0     0      0   19    0  0
113  2015-12-28   9    11   0    0    0     0      0    0    0  0
180  2015-12-28   9     0  11    0    0     0      0    0    0  0
9    2015-12-28  10     0  13    0    0     0      0    0    0  0
76   2015-12-28  10    85   0    0    0     0      0    0    0  0
107  2015-12-28  10     0   0    0    0     0      0   15    0  0
188  2015-12-28  10     0   0    0    0     2      0    0    0  0
34   2015-12-28  11     0   0    0    0     0      0   14    0  0
69   2015-12-28  11     0   0    0    0     2      0    0    0  0
134  2015-12-28  11     0  11    0    0     0      0    0    0  0
158  2015-12-28  11     2   0    0    0     0      0    0    0  0

我想要的部分输出应该像这样：

    yyyymmdd  hr ariel cat kiki mmax vicky gaolie shiu nick ck
2015-12-28  10     85   13    0    0     2      0    15    0  0

请分享一些我可以在 python pandas 或 SQL 中使用的想法，谢谢！

============================================= ============================

现在我还有2个问题想问:

如何 "fill" 数据帧的 "hr" 索引？它假设应该是这样的：

yyyymmdd hr ariel cat kiki mmax vicky gaolie shiu nick ck 0 2015-12-27 8 NaN NaN NaN NaN NaN NaN NaN NaN NaN 1 2015-12-27 9 0 0 0 0 0 0 0 23 0 2 2015-12-27 10 0 0 0 0 0 0 0 2 0 3 2015-12-27 11 0 0 0 0 0 0 0 20 0 4 2015-12-27 12 0 0 0 0 0 0 0 4 0 5 2015-12-27 13 NaN NaN NaN NaN NaN NaN NaN NaN NaN 6 2015-12-27 14 NaN NaN NaN NaN NaN NaN NaN NaN NaN 7 2015-12-27 15 NaN NaN NaN NaN NaN NaN NaN NaN NaN 8 2015-12-27 16 NaN NaN NaN NaN NaN NaN NaN NaN NaN 9 2015-12-27 17 0 0 0 0 0 0 0 2 0 10 2015-12-27 18 NaN NaN NaN NaN NaN NaN NaN NaN NaN 11 2015-12-27 19 1 0 0 0 0 0 0 0 0 12 2015-12-27 20 NaN NaN NaN NaN NaN NaN NaN NaN NaN 13 2015-12-28 8 0 8 0 0 0 0 0 0 0 14 2015-12-28 9 11 11 0 0 0 0 19 0 0 15 2015-12-28 10 85 13 0 0 2 0 15 0 0 16 2015-12-28 11 2 11 0 0 2 0 14 0 0 17 2015-12-28 12 2 20 0 4 0 0 10 0 0 18 2015-12-28 13 8 9 0 9 3 0 9 0 0 19 2015-12-28 14 4 10 0 8 0 0 22 0 0 20 2015-12-28 15 3 3 0 2 0 0 16 0 0 21 2015-12-28 16 14 5 1 1 0 0 19 0 0 22 2015-12-28 17 15 1 2 0 0 0 19 0 0 23 2015-12-28 18 0 0 0 6 0 0 0 0 0 24 2015-12-28 19 0 0 0 5 0 0 0 0 0 25 2015-12-28 20 0 0 0 1 0 0 0 0 0
如何绘制基于列和小时的折线图？（x 轴 = 列，即：ariel、cat、kiki...）（y 轴 = 小时，即：8,9,10...20）每个图表代表一个数据（即 2015-12-27、2015-12-28..）

谢谢！！

Answer 1

将你的数据放入一个Pandas数据框中，然后groupby并得到每组的最大值， Copy-Pasting 你的例子变成了 csv，它看起来像这样：

import pandas as pd
df = pd.read_csv('df.csv',index_col=0)
df_combined = df.groupby(['yyyymmdd','hr']).max()
df_combined

输出：

如果您不想要 multi-index.

，请使用 reset_index()

将相似的行合并为 python 数据框中的一行

Combine similar rows to one row in python dataframe

python

sql

dataframe

pandas

pandasql