This seems like a simple question, but I couldn\'t find it asked before (this and this are close but the answers aren\'t great).
The question is: if I want to searc
You should using isin , this is return the column , is want row check cold' answer :-)
df.isin(['bal1']).any()
A False
B True
C False
CLASS False
dtype: bool
Or
df[df.isin(['bal1'])].stack() # level 0 index is row index , level 1 index is columns which contain that value
0 B bal1
1 B bal1
dtype: object