Question: Suppose you have a Pandas DataFrame df with a column ' A ' that contains integers and a column ' B ' that contains strings.

Suppose you have a Pandas DataFrame df with a column 'A' that contains integers and a column 'B' that contains strings. What is the correct syntax to select the rows where column A is greater than 5 and column B contains the substring 'abc'?
Suppose you have a Pandas DataFrame df with a column 'A' that contains integers and a column 'B' that contains strings. What is the correct syntax to select the rows where column A is greater than 5 and column B contains the substring 'abc'?
df[(df['A']>5) & (df['B'].contains('abc'))]
df[(df['A']>5) & (df['B'].str.contains('abc'))]
df[(df['A']>5) & (df['B'].isin(['abc']))]
df[(df['A']>5) & (df['B'].str.isin(['abc']))]
None of them above

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