60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
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import numpy as np
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import pandas as pd
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from pandas.compat import StringIO
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from pandas.core.dtypes.common import is_extension_array_dtype
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from pandas.core.dtypes.dtypes import ExtensionDtype
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from .base import BaseExtensionTests
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class BaseInterfaceTests(BaseExtensionTests):
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"""Tests that the basic interface is satisfied."""
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# ------------------------------------------------------------------------
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# Interface
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# ------------------------------------------------------------------------
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def test_len(self, data):
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assert len(data) == 100
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def test_ndim(self, data):
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assert data.ndim == 1
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def test_can_hold_na_valid(self, data):
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# GH-20761
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assert data._can_hold_na is True
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def test_memory_usage(self, data):
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s = pd.Series(data)
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result = s.memory_usage(index=False)
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assert result == s.nbytes
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def test_array_interface(self, data):
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result = np.array(data)
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assert result[0] == data[0]
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def test_repr(self, data):
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ser = pd.Series(data)
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assert data.dtype.name in repr(ser)
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df = pd.DataFrame({"A": data})
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repr(df)
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def test_dtype_name_in_info(self, data):
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buf = StringIO()
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pd.DataFrame({"A": data}).info(buf=buf)
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result = buf.getvalue()
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assert data.dtype.name in result
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def test_is_extension_array_dtype(self, data):
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assert is_extension_array_dtype(data)
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assert is_extension_array_dtype(data.dtype)
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assert is_extension_array_dtype(pd.Series(data))
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assert isinstance(data.dtype, ExtensionDtype)
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def test_no_values_attribute(self, data):
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# GH-20735: EA's with .values attribute give problems with internal
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# code, disallowing this for now until solved
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assert not hasattr(data, 'values')
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assert not hasattr(data, '_values')
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