根据姓名和时间获取中位数

Question

假设我有一个数据框：

 ID              Timestamp   Temp     Height
 01    2016-01-01 09:00:00     17         10
 01    2016-01-01 10:15:00     20          5
 02    2019-05-23 07:30:00     12          3
 01    2012-01-01 09:00:00     15         12
 01    2018-01-01 09:00:00     13         18
 02    2013-11-23 17:40:00     22          9

我想要的是根据 'ID' 得到列 'Height' 的中值，从 'Timestamp' 得到月份和小时。我想要的输出示例：

 ID    Month     Hour     Height_median
 01       01       09                12
 01       01       10                 5
 02       05       07                 3
 02       11       17                 9

Answer 1

给你：

import pandas as pd 

df = pd.DataFrame(dict(ID=[1,1,2,1,1,2], 
                  Timestamp=['2016-01-01 09:00:00','2016-01-01 10:15:00','2019-05-23 07:30:00',
                            '2012-01-01 09:00:00','2018-01-01 09:00:00','2013-11-23 17:40:00'],
                  Height = [10,5,3,12,18,9]))

df.Timestamp = pd.to_datetime(df.Timestamp)
df['month'] = df.Timestamp.apply(lambda x: x.month)
df['hour'] = df.Timestamp.apply(lambda x: x.hour)
df.groupby(['ID','month','hour'])[['Height']].agg('median').reset_index()

根据姓名和时间获取中位数

Getting median based on names and time

python

pandas

dataframe

median