Convert pandas series strings to numbers

Question

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

result
"[‘PASS’,’FAIL’]"
"[‘PASS’,’FAIL’,’PASS’,’FAIL’]"
"[‘FAIL’,’FAIL’]"

Output:

result
1
1
0

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

result
"[‘PASS’,’FAIL’]"
"[‘PASS’,’FAIL’,’PASS’,’FAIL’]"
"[‘FAIL’,’FAIL’]"

Asked By: Swetha

||

Source

Answer 1

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)

Answered By: jezrael

Answer 2

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

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

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

Answered By: mozway

Convert pandas series strings to numbers

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