Python iterrows() 从 Dataframe 索引和删除行

Question

I'm iterating over a df and want to drop rows based on a condition. It's like to check the contents of a sting for a character and drop if it does not exist. I have tried the code below, with exceptions. How can I access the third column's iterative row value and check for contains.

for index, row in df_new.iterrows():
    if not row[2].contains(','):
        df_new.drop(index, inplace = True)

An exception is thrown:

AttributeError: 'str' object has no attribute 'contains'

I've tried a variety of string assignment also like:

for index, row in df_new.iterrows():
    string = str(row[2])
    if not string.contains(','):
        df_new.drop(index, inplace = True)

Answer 1

做起来可能会更快。

df_new = df_new[~df_new.Column_name.str.contains(",")]

Answer 2

Use the in operator:

for index, row in df_new.iterrows():
    if ',' not in str(row[2]):
        df_new.drop(index, inplace = True)