from datetime import datetime

import numpy as np
from numpy.random import randn

from pandas import DataFrame, Series, bdate_range

N, K = 100, 10


class Base:

    _nan_locs = np.arange(20, 40)
    _inf_locs = np.array([])

    def _create_data(self):
        arr = randn(N)
        arr[self._nan_locs] = np.NaN

        self.arr = arr
        self.rng = bdate_range(datetime(2009, 1, 1), periods=N)
        self.series = Series(arr.copy(), index=self.rng)
        self.frame = DataFrame(randn(N, K), index=self.rng, columns=np.arange(K))