asv_bench/benchmarks/replace.py - main - githubmirror/pandas

asv_bench/benchmarks/replace.py
76 строк2 KB
Richard Shadrach
ASV: Run inplace fillna once per setup (#65688)
26 май 2026, 20:16
26 май 2026, 20:16769e8cd
import numpy as np

import pandas as pd


class FillNa:
    params = [True, False]
    param_names = ["inplace"]
    # inplace=True can only run once as it mutates the data
    number = 1

    def setup(self, inplace):
        N = 10**6
        rng = pd.date_range("1/1/2000", periods=N, freq="min")
        data = np.random.randn(N)
        data[::2] = np.nan
        self.ts = pd.Series(data, index=rng)

    def time_fillna(self, inplace):
        self.ts.fillna(0.0, inplace=inplace)

    def time_replace(self, inplace):
        self.ts.replace(np.nan, 0.0, inplace=inplace)


class ReplaceDict:
    params = [True, False]
    param_names = ["inplace"]

    def setup(self, inplace):
        N = 10**5
        start_value = 10**5
        self.to_rep = dict(enumerate(np.arange(N) + start_value))
        self.s = pd.Series(np.random.randint(N, size=10**3))

    def time_replace_series(self, inplace):
        self.s.replace(self.to_rep, inplace=inplace)


class ReplaceList:
    # GH#28099

    params = [(True, False)]
    param_names = ["inplace"]

    def setup(self, inplace):
        self.df = pd.DataFrame({"A": 0, "B": 0}, index=range(10**7))

    def time_replace_list(self, inplace):
        self.df.replace([np.inf, -np.inf], np.nan, inplace=inplace)

    def time_replace_list_one_match(self, inplace):
        # the 1 can be held in self._df.blocks[0], while the inf and -inf can't
        self.df.replace([np.inf, -np.inf, 1], np.nan, inplace=inplace)


class Convert:
    params = (["DataFrame", "Series"], ["Timestamp", "Timedelta"])
    param_names = ["constructor", "replace_data"]

    def setup(self, constructor, replace_data):
        N = 10**3
        data = {
            "Series": pd.Series(np.random.randint(N, size=N)),
            "DataFrame": pd.DataFrame(
                {"A": np.random.randint(N, size=N), "B": np.random.randint(N, size=N)}
            ),
        }
        self.to_replace = {i: getattr(pd, replace_data) for i in range(N)}
        self.data = data[constructor]

    def time_replace(self, constructor, replace_data):
        self.data.replace(self.to_replace)


from .pandas_vb_common import setup  # noqa: F401 isort:skip