Method setup

asv_bench/benchmarks/sparse.py:22–31

(self)

class SparseSeriesToFrame:
    def setup(self):
        K = 50
        N = 50001
        rng = date_range("1/1/2000", periods=N, freq="min")
        self.series = {}
        for i in range(1, K):
            data = np.random.randn(N)[:-i]
            idx = rng[:-i]
            data[100:] = np.nan
            self.series[i] = Series(SparseArray(data), index=idx)

    def time_series_to_frame(self):
        pd.DataFrame(self.series)