[英]How to Compare 2 DataFrame which different Column Names( Columns are in same Sequence) in Python
The requirement is to compare 2 dataframe(dataset) both having different header. 要求是比较两个具有不同头的数据帧(数据集)。 Basically I am querying database(HANA) table and comparing its output with the output of a SQL code as data testing
基本上我正在查询数据库(HANA)表并将其输出与SQL代码的输出进行比较以进行数据测试
Ex 防爆
df1: df1:
customerNo City Amount
C1 ABC 100
C2 XYZ 50
df2: df2:
customer Place Amount
C1 ABC 100
C2 PQR 40
Although column names are different but they are in the correct order. 尽管列名不同,但是它们的顺序正确。 Is there a way to compare dataset just based on column orders?
有没有一种方法可以仅基于列顺序比较数据集?
I tried datacompy.Compare(df1,df2, on_index=True)
but its not working. 我尝试了
datacompy.Compare(df1,df2, on_index=True)
但它不起作用。
Try renaming the columns and then running your compare tests. 尝试重命名列,然后运行比较测试。 An example for renaming columns:
重命名列的示例:
df2 = df2.rename(columns = {'customer':'customerNo','Place':'city','Amount':'Amount'})
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.