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Alright, so with only 2 distinct values to map, 100,000,000 rows, it takes 6.67 seconds to run without "memoization", and 9.86 seconds with.
– AMC
Commented Feb 10, 2020 at 2:31
100,000,000 rows, 52 distinct values, where 1 of those maps to the first output value, and the other 51 all correspond to the other: 7.99 seconds without memoization, 11.1 seconds with.
– AMC
Commented Feb 10, 2020 at 2:48
Are your values in random order? Or are they back to back? High speed of pandas could be due to caching @AMC
– Yaakov Bressler
Commented Feb 10, 2020 at 4:14
1

Are your values in random order? Or are they back to back? Values are random, selected using random.choices().
– AMC
Commented Feb 10, 2020 at 22:56

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