54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
|
import numpy as np
|
||
|
|
import pytest
|
||
|
|
|
||
|
|
import pandas as pd
|
||
|
|
import pandas._testing as tm
|
||
|
|
|
||
|
|
|
||
|
|
def test_astype():
|
||
|
|
# with missing values
|
||
|
|
arr = pd.array([True, False, None], dtype="boolean")
|
||
|
|
|
||
|
|
with pytest.raises(ValueError, match="cannot convert NA to integer"):
|
||
|
|
arr.astype("int64")
|
||
|
|
|
||
|
|
with pytest.raises(ValueError, match="cannot convert float NaN to"):
|
||
|
|
arr.astype("bool")
|
||
|
|
|
||
|
|
result = arr.astype("float64")
|
||
|
|
expected = np.array([1, 0, np.nan], dtype="float64")
|
||
|
|
tm.assert_numpy_array_equal(result, expected)
|
||
|
|
|
||
|
|
result = arr.astype("str")
|
||
|
|
expected = np.array(["True", "False", "<NA>"], dtype="<U5")
|
||
|
|
tm.assert_numpy_array_equal(result, expected)
|
||
|
|
|
||
|
|
# no missing values
|
||
|
|
arr = pd.array([True, False, True], dtype="boolean")
|
||
|
|
result = arr.astype("int64")
|
||
|
|
expected = np.array([1, 0, 1], dtype="int64")
|
||
|
|
tm.assert_numpy_array_equal(result, expected)
|
||
|
|
|
||
|
|
result = arr.astype("bool")
|
||
|
|
expected = np.array([True, False, True], dtype="bool")
|
||
|
|
tm.assert_numpy_array_equal(result, expected)
|
||
|
|
|
||
|
|
|
||
|
|
def test_astype_to_boolean_array():
|
||
|
|
# astype to BooleanArray
|
||
|
|
arr = pd.array([True, False, None], dtype="boolean")
|
||
|
|
|
||
|
|
result = arr.astype("boolean")
|
||
|
|
tm.assert_extension_array_equal(result, arr)
|
||
|
|
result = arr.astype(pd.BooleanDtype())
|
||
|
|
tm.assert_extension_array_equal(result, arr)
|
||
|
|
|
||
|
|
|
||
|
|
def test_astype_to_integer_array():
|
||
|
|
# astype to IntegerArray
|
||
|
|
arr = pd.array([True, False, None], dtype="boolean")
|
||
|
|
|
||
|
|
result = arr.astype("Int64")
|
||
|
|
expected = pd.array([1, 0, None], dtype="Int64")
|
||
|
|
tm.assert_extension_array_equal(result, expected)
|