我正在尝试将日期时间序列与存储库数据合并,同时按名称分组并求和值。你知道吗
File1.csv
Timeseries,Name,count
07/03/2015 06:00:00,Paris,100
07/03/2015 06:00:00,Paris,600
07/03/2015 06:00:00,Paris,700
07/03/2015 06:00:00,London,200
07/03/2015 06:00:00,London,100
07/03/2015 06:00:00,London,500
07/03/2015 06:00:00,Dublin,300
07/03/2015 06:00:00,Dublin,400
07/03/2015 06:00:00,Dublin,400
输出
Master_file.csv (append mode)
Name,Timeseries(n-1)Timeseries(n)#put the datetime series as header and put
Paris,300,1400 #Sum of all the values with same Name
London,200,800
Dublin,400,1100
Program
import pandas as pd
import numpy as np
df = pd.read_csv('/home/lat_lon1.csv')
df1 = pd.read_csv('/home/lat_lon_master.csv')
gp = df.groupby('Name')['date timeseries'].sum().reset_index()
df1.merge(gp, on='Name')
我很难将date time
列更改为header并将正确的值放在下面。未找到的Names
可以给出NAN并在下一次迭代中替换。你知道吗
请检查python数据框文档 Click here 这是您正在查看的代码。你知道吗
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