使用pandas为公共变量合并数据集

Question

我尝试使用公共变量合并数据集， 但因为var名称很复杂，只是在csv文件中更改。

现在我需要合并，但var名称可能无法识别 KeyError：'EID'

我该怎么办？

DATA1：

Itv Schedule, Data: Itv Session,    EID,    Employer: Organization Name,
Fall 2015, CS,  9b3000a21d0fbc59e648dd7eb61265cb,   Alibaba,
Fall 2015, CS,  3e14213c3e34a38c1e6fa8b9577ecf81,   Amazon,
Fall 2015, CS,  0b87a844f4c607d532b3ee7f4cbae22a,   Credit,
Fall 2015, CS,  9f694bd711a347c2c0177a06505c2462,   Corporation,
Fall 2015, CS,  c41ad017309167498e43592ea15273a4,   Financial,

DATA2：

Itv Schedule, Data: Itv Session,    EID,    Employer: Organization Name,
Fall 2016, CS,  94ac45de9cd4847991aab265c750921a,   CS,
Fall 2016, CS,  62b139cfa0b668c7f934f7001a999be6,   IBM,
Fall 2016, CS,  224c539042211ba53add9cc831bc8a33,   Petrol,
Fall 2016, CS,  5f32811c9de563cfe8328847d5d3c180,   Stock,

DATA3：

Itv Schedule, Data: Itv Session,    EID,    Employer: Organization Name,
Fall 2017, SAM, 0a1f9785f5c111c373b5034c296c37b3,   Honest,
Fall 2017, SAM, 9f694bd711a347c2c0177a06505c2462,   Corporation,
Fall 2017, CS,  5f32811c9de563cfe8328847d5d3c180,   Stock,

我的代码：

import pandas as pd
import numpy as np

data1516 = pd.read_csv('data1516.csv', sep='|', names=None, header=0, encoding='latin-1')
data1617 = pd.read_csv('data1617.csv', sep='|', names=None, header=0, encoding='latin-1')
data1718 = pd.read_csv('data1718.csv', sep='|', names=None, header=0, encoding='latin-1')


N=[data1516,data1617,data1718]
import functools 
df=functools.reduce(lambda x, y: pd.merge(x, y, on = "EID", how='outer'), N)

#df = pd.merge(data1516, data1617, on='EID', how='outer')

想要合并而不是做concat