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Title:
PERF: improve performance of infer_dtype by topper-123 · Pull Request #51054 · pandas-dev/pandas · GitHub
Description:
Improves performance of api.types.infer_dtype: >>> import numpy as np >>> import pandas as pd >>> from pandas.api.types import infer_dtype >>> >>> base_...
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Keywords {🔍}
loop, topper, import, timeit, inferdtypex, main, mroeschke, contributor, commented, jbrockmendel, performance, reviewed, author, inferdtype, view, member, importing, sign, merged, commits, pdseriesbasearr, added, skipna, pandas, issues, pull, conversation, false, function, speedup, elif, dtype, version, navigation, projects, security, perf, improve, issue, pandasdevmain, edited, numpy, pandasapitypes, basearr, nparange, nparraybasearr, dtypeint, pdarraybasearr, bit, adds,
Topics {✒️}
pandas/core/indexes/base mroeschke added infer_dtype_performance fda03bd version member jbrockmendel left view reviewed pandas/_libs/lib conversation checking class names improve performance nice speed boost v2 jbrockmendel approved mroeschke approved pull request member jbrockmendel unwrap series/index pandas-dev performance adds topper-123 onetime import inside infer_dtype imported class importing series importing inside importing abcfoo bool = true global namespace abc versions longer needed good speed personal information elif hasattr costs 300 ns function call types pyx outdated abcs dtype= dtype pandas = np issue milestone 2 issues main infer_dtype importing series speed bug
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