Python: Pandas filter string data based on its string length

Question

I like to filter out data whose string length is not equal to 10.

If I try to filter out any row whose column A\'s or B\'s string length is not equal to 10, I tried

Answer 1

A more Pythonic way of filtering out rows based on given conditions of other columns and their values:

Assuming a df of:

data={"names":["Alice","Zac","Anna","O"],"cars":["Civic","BMW","Mitsubishi","Benz"],
     "age":["1","4","2","0"]}

df=pd.DataFrame(data)
df:
  age        cars  names
0   1       Civic  Alice
1   4         BMW    Zac
2   2  Mitsubishi   Anna
3   0        Benz      O

Then:

df[
df['names'].apply(lambda x: len(x)>1) &
df['cars'].apply(lambda x: "i" in x) &
df['age'].apply(lambda x: int(x)<2)
  ]

We will have :

  age   cars  names
0   1  Civic  Alice

In the conditions above we are looking first at the length of strings, then we check whether a letter ("i") exists in the strings or not, finally, we check for the value of integers in the first column.