【发布时间】：2016-07-01 10:40:03
【问题描述】：
我有三个 csv 文件。
一个有标题的：
names1=['Date','Conc','Flow','SZ','SB','RZ','RB','Fraction','Attenuation','Conc_less_-200_flag','Conc_greater_500_flag','Wind Speed','Wind Direction','Wind_direction_Flag','Wind_Speed_Less_than_4','Middle','Wind_Speed_Greater_than_10','Multiple conditions']
第一行：
Date,Conc,Flow,SZ,SB,RZ,RB,Fraction,Attenuation,Conc_less_-200_flag,Conc_greater_500_flag,Wind Speed,Wind Direction,Wind_direction_Flag,Wind_Speed_Less_than_4,Middle,Wind_Speed_Greater_than_10,Multiple conditions
2004-02-27 00:00:00,,,,,,,,,,,6.524999999999999,177.75,0.0,0.0,1.0,0.0,0.0
2004-02-27 01:00:00,,,,,,,,,,,6.991666666666667,197.83333333333334,0.0,0.0,1.0,0.0,0.0
另外两个：
names2=['Date','Chanel0','Chanel1','Chanel2','Chanel3','Chanel4','Chanel5','Chanel6','Chanel7','Conc_less_-200_flag','Conc_greater_500_flag','Wind Speed','Wind Direction','Wind_direction_Flag','Wind_Speed_Less_than_4','Middle','Wind_Speed_Greater_than_10','Multiple conditions']
第一行：
Date,Chanel0,Chanel1,Chanel2,Chanel3,Chanel4,Chanel5,Chanel6,Chanel7,Conc_less_-200_flag,Conc_greater_500_flag,Wind Speed,Wind Direction,Wind_direction_Flag,Wind_Speed_Less_than_4,Middle,Wind_Speed_Greater_than_10,Multiple conditions
2012-01-23 08:00:00,-2402.3575757575754,-2418.8121212121237,-2423.983863636366,-2422.913745454546,-2423.983863636366,-2422.814151515151,-2423.242424242424,-2422.4842121212123,1.0,1.0,,,,,,,
2012-01-23 09:00:00,6.5666666666666655,6.8849999999999945,0.02130000000000001,1.4343266666666665,0.02130000000000001,1.5671516666666663,1.0,2.085166666666667,1.0,1.0,,,,,,,
我希望输出是带有标题的 csv 文件：
['Date','Conc','Flow','SZ','SB','RZ','RB','Fraction','Attenuation','Chanel0','Chanel1','Chanel2','Chanel3','Chanel4','Chanel5','Chanel6','Chanel7','Conc_greater_500_flag','Wind Speed','Wind Direction','Wind_direction_Flag','Wind_Speed_Less_than_4','Middle','Wind_Speed_Greater_than_10','Multiple conditions']
很明显：后两个文件的贡献部分将有空白（或更好的 Nan's/0's for flow、sz 列等。第一个文件将在 channel0-7 列中包含它们
注意日期是索引列。
我尝试了df_merged=pd.concat(df1,df2,df3)，但这似乎与标题重叠。
也试过了：
df_merged=pd.concat([df1,df2,df3],axis=1)
但这会导致 cs 输出： 进入
,Conc,Flow,SZ,SB,RZ,RB,Fraction,Attenuation,Conc_less_-200_flag,Conc_greater_500_flag,Wind Speed,Wind Direction,Wind_direction_Flag,Wind_Speed_Less_than_4,Middle,Wind_Speed_Greater_than_10,Multiple conditions,Chanel0,Chanel1,Chanel2,Chanel3,Chanel4,Chanel5,Chanel6,Chanel7,Conc_less_-200_flag,Conc_greater_500_flag,Wind Speed,Wind Direction,Wind_direction_Flag,Wind_Speed_Less_than_4,Middle,Wind_Speed_Greater_than_10,Multiple conditions,Chanel0,Chanel1,Chanel2,Chanel3,Chanel4,Chanel5,Chanel6,Chanel7,Conc_less_-200_flag,Conc_greater_500_flag,Wind Speed,Wind Direction,Wind_direction_Flag,Wind_Speed_Less_than_4,Middle,Wind_Speed_Greater_than_10,Multiple conditions
2004-02-27 00:00:00,,,,,,,,,,,6.524999999999999,177.75,0.0,0.0,1.0,0.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
很接近，但最后有多余的列 而且我不认为与常见的colomns重叠
【问题讨论】：
-
试试
df = pd.merge(df1,df2,df3); df.to_csv('New.csv') -
df = pd.merge(df1,df2,df3) 给出：ValueError：DataFrame 的真值不明确。使用 a.empty、a.bool()、a.item()、a.any() 或 a.all()。
标签： python csv concatenation