idk how to ask Question maybe wrong way!
id name salary
0 1 shyam 10000
1 2 ram 20000
2 3 ravi abc
3 4 abhay 30000
4 5 karan fgh
*** expected ***
id name salary
2 3 ravi abc
4 5 karan fgh
CodePudding user response:
We can use str.contains
as follows:
df_out = df[(df["name"].str.contains(r'^[A-Za-z] $', regex=True)) &
(df["salary"].str.contains(r'^[A-Za-z] $', regex=True))]
The above logic will only match rows for which both the name
and salary
columns contain only alpha characters.