在 dataframe 中查找满足 if 条件的行的索引标签

Question

I need to drop all the rows if the value of a string in a column begins with @ or Account.

I used list comprehension and.index method but the list is not a index number.

I need index numbers of all rows to be dropped.

x = [
    i.index for i in df['Cleared/Open Items Symbol'] 
    if isinstance(i, str) if i.startswith('@') or i.startswith('Account')
]
 
print(x)

Answer 1

Use str.contains . This is part of pandas . By default it checks regular expressions. It will return True or False , ie type bool for all rows. As you want to drop those you negate it with the tilde operator and take the according elements from your dataframe. This can be written in a simple one-liner.

dfnew = df[~df['columnName'].str.contains('^@|^Account')]