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import numpy as np
from .base import NumpyColumn
# normalize_null_value = False due to float('nan')
# With normalization pandas.isnull will threat float('nan') as NULL value.
class NumpyFloat32Column(NumpyColumn):
dtype = np.dtype(np.float32)
ch_type = 'Float32'
normalize_null_value = False
def _get_nulls_map(self, items):
return [x is None for x in items]
class NumpyFloat64Column(NumpyColumn):
dtype = np.dtype(np.float64)
ch_type = 'Float64'
normalize_null_value = False
def _get_nulls_map(self, items):
return [x is None for x in items]
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