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PERF: Use Categorical.equals in CategoricalIndex.equals #24023
Avoids a materialization of the full array.
import pandas as pd import numpy as np import string a = pd.CategoricalIndex(np.random.choice(list(string.ascii_letters[:10]), 100_000)) b = a.copy() c = pd.CategoricalIndex(np.random.choice(list(string.ascii_letters[:10]), 100_000)) print("eq-index") %timeit a.equals(b) print("ne-index") %timeit a.equals(c)
@@ Coverage Diff @@ ## master #24023 +/- ## ========================================== + Coverage 92.31% 92.31% +<.01% ========================================== Files 161 161 Lines 51549 51551 +2 ========================================== + Hits 47586 47588 +2 Misses 3963 3963
added a commit
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Feb 28, 2019
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