85 lines
2.5 KiB
Python
85 lines
2.5 KiB
Python
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"""Tests for dataframe detection functions."""
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import numpy as np
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import pytest
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from sklearn._min_dependencies import dependent_packages
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from sklearn.utils._dataframe import is_df_or_series, is_pandas_df, is_polars_df
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from sklearn.utils._testing import _convert_container
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@pytest.mark.parametrize("constructor_name", ["pyarrow", "dataframe", "polars"])
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def test_is_df_or_series(constructor_name):
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df = _convert_container([[1, 4, 2], [3, 3, 6]], constructor_name)
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assert is_df_or_series(df)
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assert not is_df_or_series(np.asarray([1, 2, 3]))
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@pytest.mark.parametrize("constructor_name", ["pyarrow", "dataframe", "polars"])
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def test_is_pandas_df_other_libraries(constructor_name):
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df = _convert_container([[1, 4, 2], [3, 3, 6]], constructor_name)
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if constructor_name in ("pyarrow", "polars"):
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assert not is_pandas_df(df)
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else:
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assert is_pandas_df(df)
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def test_is_pandas_df():
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"""Check behavior of is_pandas_df when pandas is installed."""
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pd = pytest.importorskip("pandas")
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df = pd.DataFrame([[1, 2, 3]])
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assert is_pandas_df(df)
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assert not is_pandas_df(np.asarray([1, 2, 3]))
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assert not is_pandas_df(1)
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def test_is_pandas_df_pandas_not_installed(hide_available_pandas):
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"""Check is_pandas_df when pandas is not installed."""
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assert not is_pandas_df(np.asarray([1, 2, 3]))
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assert not is_pandas_df(1)
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@pytest.mark.parametrize(
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"constructor_name, minversion",
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[
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("pyarrow", dependent_packages["pyarrow"][0]),
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("dataframe", dependent_packages["pandas"][0]),
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("polars", dependent_packages["polars"][0]),
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],
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)
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def test_is_polars_df_other_libraries(constructor_name, minversion):
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df = _convert_container(
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[[1, 4, 2], [3, 3, 6]],
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constructor_name,
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minversion=minversion,
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)
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if constructor_name in ("pyarrow", "dataframe"):
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assert not is_polars_df(df)
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else:
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assert is_polars_df(df)
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def test_is_polars_df_for_duck_typed_polars_dataframe():
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"""Check is_polars_df for object that looks like a polars dataframe"""
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class NotAPolarsDataFrame:
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def __init__(self):
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self.columns = [1, 2, 3]
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self.schema = "my_schema"
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not_a_polars_df = NotAPolarsDataFrame()
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assert not is_polars_df(not_a_polars_df)
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def test_is_polars_df():
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"""Check that is_polars_df return False for non-dataframe objects."""
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class LooksLikePolars:
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def __init__(self):
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self.columns = ["a", "b"]
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self.schema = ["a", "b"]
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assert not is_polars_df(LooksLikePolars())
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