[英]Creating new column in a Pandas dataframe by concatenating two other column based on some condition
I have a dataframe as shown below (only showing relevant columns):我有一个 dataframe 如下所示(仅显示相关列):
col1 col2
NaN NaN
NaN abc@123.com | pqr@234.com
ppp@987.com NaN
zzz@765.com aaa@123.com | mmm@456.com
I want to create a new column based on concatenating col1 and col2 with " | " as a separator.我想创建一个基于连接 col1 和 col2 的新列,其中“|”作为分隔符。 NaN values should be ignored
NaN 值应该被忽略
Expected output:预期 output:
col1 col2 new_col
NaN NaN NaN
NaN abc@123.com | pqr@234.com abc@123.com | pqr@234.com
ppp@987.com NaN ppp@987.com
zzz@765.com aaa@123.com | mmm@456.com zzz@765.com | aaa@123.com | mmm@456.com
Let us try stack
让我们尝试
stack
df['New']=df.stack().groupby(level=0).agg('|'.join)
df
col1 col2 New
0 NaN NaN NaN
1 NaN abc@123.com|pqr@234.com abc@123.com|pqr@234.com
2 ppp@987.com NaN ppp@987.com
3 zzz@765.com aaa@123.com|mmm@456.com zzz@765.com|aaa@123.com|mmm@456.com
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