mirror of
https://github.com/PiBrewing/craftbeerpi4.git
synced 2024-12-12 16:35:02 +01:00
95 lines
2.9 KiB
Python
95 lines
2.9 KiB
Python
import numpy as np
|
|
|
|
from pandas.core.dtypes.common import is_extension_array_dtype
|
|
from pandas.core.dtypes.dtypes import ExtensionDtype
|
|
|
|
import pandas as pd
|
|
import pandas._testing as tm
|
|
|
|
from .base import BaseExtensionTests
|
|
|
|
|
|
class BaseInterfaceTests(BaseExtensionTests):
|
|
"""Tests that the basic interface is satisfied."""
|
|
|
|
# ------------------------------------------------------------------------
|
|
# Interface
|
|
# ------------------------------------------------------------------------
|
|
|
|
def test_len(self, data):
|
|
assert len(data) == 100
|
|
|
|
def test_size(self, data):
|
|
assert data.size == 100
|
|
|
|
def test_ndim(self, data):
|
|
assert data.ndim == 1
|
|
|
|
def test_can_hold_na_valid(self, data):
|
|
# GH-20761
|
|
assert data._can_hold_na is True
|
|
|
|
def test_memory_usage(self, data):
|
|
s = pd.Series(data)
|
|
result = s.memory_usage(index=False)
|
|
assert result == s.nbytes
|
|
|
|
def test_array_interface(self, data):
|
|
result = np.array(data)
|
|
assert result[0] == data[0]
|
|
|
|
result = np.array(data, dtype=object)
|
|
expected = np.array(list(data), dtype=object)
|
|
tm.assert_numpy_array_equal(result, expected)
|
|
|
|
def test_is_extension_array_dtype(self, data):
|
|
assert is_extension_array_dtype(data)
|
|
assert is_extension_array_dtype(data.dtype)
|
|
assert is_extension_array_dtype(pd.Series(data))
|
|
assert isinstance(data.dtype, ExtensionDtype)
|
|
|
|
def test_no_values_attribute(self, data):
|
|
# GH-20735: EA's with .values attribute give problems with internal
|
|
# code, disallowing this for now until solved
|
|
assert not hasattr(data, "values")
|
|
assert not hasattr(data, "_values")
|
|
|
|
def test_is_numeric_honored(self, data):
|
|
result = pd.Series(data)
|
|
assert result._mgr.blocks[0].is_numeric is data.dtype._is_numeric
|
|
|
|
def test_isna_extension_array(self, data_missing):
|
|
# If your `isna` returns an ExtensionArray, you must also implement
|
|
# _reduce. At the *very* least, you must implement any and all
|
|
na = data_missing.isna()
|
|
if is_extension_array_dtype(na):
|
|
assert na._reduce("any")
|
|
assert na.any()
|
|
|
|
assert not na._reduce("all")
|
|
assert not na.all()
|
|
|
|
assert na.dtype._is_boolean
|
|
|
|
def test_copy(self, data):
|
|
# GH#27083 removing deep keyword from EA.copy
|
|
assert data[0] != data[1]
|
|
result = data.copy()
|
|
|
|
data[1] = data[0]
|
|
assert result[1] != result[0]
|
|
|
|
def test_view(self, data):
|
|
# view with no dtype should return a shallow copy, *not* the same
|
|
# object
|
|
assert data[1] != data[0]
|
|
|
|
result = data.view()
|
|
assert result is not data
|
|
assert type(result) == type(data)
|
|
|
|
result[1] = result[0]
|
|
assert data[1] == data[0]
|
|
|
|
# check specifically that the `dtype` kwarg is accepted
|
|
data.view(dtype=None)
|