`Following series, contains result as string of lists with values either PASS or FAIL. Input:-

Output:

If any row has at-least one PASS as value then return 1 else return 0 Input:-

CodePudding user response：

A simple and fast approach, use a regex with str.contains:

# if your want a robust check
df['result'] = df['result'].str.contains(r'\bPASS\b').astype(int)

# or if you're sure there are only PASS/FAIL
df['result'] = df['result'].str.contains('PASS').astype(int)

CodePudding user response：

If there are lists use in statement:

df['result'] = [int('PASS' in x) for x in df['result']]
#alternative solution
df['result'] = df['result'].apply(lambda x: 'PASS' in x).astype(int)

If strings use Series.str.contains:

df['result'] = df['result'].str.contains('PASS').astype(int)