How to get True/False mask from Pandas Series?

Question

I have a pandas Serie containing some strings

s = pd.Series(['a', 'b', 'c', 'd', 'a'], index=[1, 2, 3, 4, 5])

How can I get a serie of True/False based on equality of a string? For example I want to check the positions of all 'a' and from the example above I want to get as a result

True, False, False, False, True

To extend sacul's comment a bit: do a `print(s == 'a')` and you get exactly what you asked for. No need to do a string search. — MPA, May 29 '18 at 16:37

score -1 · Answer 1 · answered May 29 '18 at 16:36

-1

I have found a solution in the mean time!

res = s.str.contains("a")

answered May 29 '18 at 16:36

prre72

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score -1 · Answer 2 · answered May 29 '18 at 16:39

-1

np.where(s=='a', 'true', 'false')

answered May 29 '18 at 16:39

nimrodz

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How to get True/False mask from Pandas Series?

2 Answers2