python/benchmarks/convert_pandas.py

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import numpy as np
import pandas as pd
import pyarrow as pa


class PandasConversionsBase(object):
    def setup(self, n, dtype):
        if dtype == 'float64_nans':
            arr = np.arange(n).astype('float64')
            arr[arr % 10 == 0] = np.nan
        else:
            arr = np.arange(n).astype(dtype)
        self.data = pd.DataFrame({'column': arr})


class PandasConversionsToArrow(PandasConversionsBase):
    param_names = ('size', 'dtype')
    params = ((10, 10 ** 6), ('int64', 'float64', 'float64_nans', 'str'))

    def time_from_series(self, n, dtype):
        pa.Table.from_pandas(self.data)


class PandasConversionsFromArrow(PandasConversionsBase):
    param_names = ('size', 'dtype')
    params = ((10, 10 ** 6), ('int64', 'float64', 'float64_nans', 'str'))

    def setup(self, n, dtype):
        super(PandasConversionsFromArrow, self).setup(n, dtype)
        self.arrow_data = pa.Table.from_pandas(self.data)

    def time_to_series(self, n, dtype):
        self.arrow_data.to_pandas()