Drop row in pandas if it contains condition

Question

I am trying to drop rows in pandas based on whether or not it contains "/" in the cells in column "Price". I have referred to the question: Drop rows in pandas if they contains "???".

As such, I have tried both codes:

df = df[~df["Price"].str.contains('/')]

and

df = df[~df["Price"].str.contains('/',regex=False)]

However, both codes give the error: AttributeError: Can only use.str accessor with string values!

For reference, the first few rows of my dataframe is as follows:

    Fruit   Price
0   Apple     3
1   Apple    2/3
2   Banana    2
3   Orange   6/7

May I know what went wrong and how can I fix this problem? Thank you very much!

Answer 1

Try this:

df = df[~df['Price'].astype(str).str.contains('/')]
print(df)

    Fruit Price
0   Apple     3
2  Banana     2

Answer 2

You need to convert the price column to string first and then apply this operation. I believe that price column doesn't have datatype string

df['Price'] = df['Price'].astype(str)

and then try

df = df[~df["Price"].str.contains('/',regex=False)]