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import numpy as np
import pandas as pd
class BooleanArray:
def setup(self):
self.values_bool = np.array([True, False, True, False])
self.values_float = np.array([1.0, 0.0, 1.0, 0.0])
self.values_integer = np.array([1, 0, 1, 0])
self.values_integer_like = [1, 0, 1, 0]
self.data = np.array([True, False, True, False])
self.mask = np.array([False, False, True, False])
def time_constructor(self):
pd.arrays.BooleanArray(self.data, self.mask)
def time_from_bool_array(self):
pd.array(self.values_bool, dtype="boolean")
def time_from_integer_array(self):
pd.array(self.values_integer, dtype="boolean")
def time_from_integer_like(self):
pd.array(self.values_integer_like, dtype="boolean")
def time_from_float_array(self):
pd.array(self.values_float, dtype="boolean")
class IntegerArray:
def setup(self):
self.values_integer = np.array([1, 0, 1, 0])
self.data = np.array([1, 2, 3, 4], dtype="int64")
self.mask = np.array([False, False, True, False])
def time_constructor(self):
pd.arrays.IntegerArray(self.data, self.mask)
def time_from_integer_array(self):
pd.array(self.values_integer, dtype="Int64")
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