replace.py

import numpy as np
import pandas as pd


class FillNa:

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

    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 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