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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 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
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