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Pull requests: pandas-dev/pandas
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PERF: cythonizing _concat_date_cols; conversion to float without exceptions in _does_string_look_like_datetime Datetime Datetime data dtype Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Performance Memory or execution speed performance
Add chunksize param to read_json when lines=True IO JSON read_json, to_json, json_normalize Performance Memory or execution speed performance
PERF: Parse certain dates in Cython instead of falling back to dateutil.parse Datetime Datetime data dtype Performance Memory or execution speed performance
PERF: CategoricalIndex.get_loc should avoid expensive cast of .codes to int64 Categorical Categorical Data Type Performance Memory or execution speed performance
#21699 by topper-123 was closed Oct 19, 2018 Loading…
2 of 4 tasks
ENH: Only apply first group once in fast GroupBy.apply Groupby Performance Memory or execution speed performance
PERF: changed default value of cache parameter to True in to_datetime function API Design Datetime Datetime data dtype Performance Memory or execution speed performance
pivot_table very slow on Categorical data; how about an observed keyword argument? #24923 Categorical Categorical Data Type Performance Memory or execution speed performance
PERF: GH2003 Series.isin for categorical dtypes Categorical Categorical Data Type Performance Memory or execution speed performance
PERF: optimized median func when bottleneck not present Numeric Operations Arithmetic, Comparison, and Logical operations Performance Memory or execution speed performance
ENH: to_sql() add parameter "method" to control insertions method (#8… Enhancement IO SQL to_sql, read_sql, read_sql_query Performance Memory or execution speed performance
[PERF] Get rid of MultiIndex conversion in IntervalIndex.intersection Interval Interval data type Performance Memory or execution speed performance
PERF: O(n) speedup in any/all by re-enabling short-circuiting for bool case Performance Memory or execution speed performance
PERF: added no exception versions of '_string_to_dts' and 'parse_iso_8601_datetime' functions Datetime Datetime data dtype Performance Memory or execution speed performance
PERF: Faster Series.__getattribute__ Datetime Datetime data dtype Performance Memory or execution speed performance
PERF/REF: improve performance of Series.searchsorted, PandasArray.searchsorted, collect functionality Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Performance Memory or execution speed performance
ENH: added new cache_dates parameter for read_csv func Datetime Datetime data dtype Enhancement IO CSV read_csv, to_csv Performance Memory or execution speed performance
PERF: leverage tzlocal package to provide 2000x speedup for dateutil.tz.tzlocal operations Datetime Datetime data dtype Performance Memory or execution speed performance Timezones Timezone data dtype
#24737 by qwhelan was closed Jun 8, 2019 Loading…
4 tasks
Implement roll_monthday, simplify SemiMonthOffset Frequency DateOffsets Performance Memory or execution speed performance
PERF: add method Categorical.__contains__ Categorical Categorical Data Type Performance Memory or execution speed performance
#18058: improve DatetimeIndex.date performance Datetime Datetime data dtype Performance Memory or execution speed performance
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