我被下面的代码困住了。基本上,我使用循环变量'analyticalname'和'fedbatchname'遍历2个数据帧的第一列。如果这两个变量在每个dataframe中找到匹配项,那么我想基于循环变量的值访问dataframe的元素。然而,当我运行代码时,我得到一个键错误,它起源于if语句后面的行。本质上,我是在问如何基于循环变量访问数据帧的元素。有什么建议吗?你知道吗
import pandas as pd
analyticaldata = pd.read_csv('SE-HPLC.csv', usecols = ['Sample ID','%
Aggregate','% Monomer','% Fragment']) #loading data into pandas DataFrame
fedbatchdata = pd.read_csv('Culture Day Sheet.csv',usecols =
['RUN_NUMBER','% Aggregate','% Monomer','% Fragment'])
for analyticalname in analyticaldata['Sample ID']: #for each element in
first column of SE-HPLC worksheet
for fedbatchname in fedbatchdata['RUN_NUMBER']: #for each element in first column of Culture Day worksheet
if analyticalname == fedbatchname: #if any of the names match
fedbatchdata.ix[fedbatchdata.fedbatchname,'% Aggregate'] = analyticaldata[analyticalname]['% Aggregate']
fedbatchdata.ix[fedbatchdata.fedbatchname,'% Monomer'] = analyticaldata.ix[analyticalname,'% Monomer']
fedbatchdata.ix[fedbatchdata.fedbatchname,'% Fragment'] = analyticaldata.ix[analyticalname,'% Fragment']
编辑:这是两个数据帧的一些示例数据,我很抱歉漏掉了。fedbatch数据帧应该是空的,我试图将分析数据帧中的值复制到fedbatch数据帧中。你知道吗
Analytical dataframe:
SAMPLE_ID: % Aggregate % Monomer % Fragment
A 2 4 1.5
B 1 4 6
C 5 5 2.1
D 3 7.1 10
Fed Batch Dataframe:
RUN_NUMBER: % Aggregate % Monomer % Fragment
B
A
C
D
使用^{} with rename column在输出
DataFrame
中避免它,只从fedbatchdata
中选择列RUN_NUMBER
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