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usr
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python3.6
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site-packages
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pandas
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tests
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api
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/usr/local/lib64/python3.6/site-packages/pandas/tests/api
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test_api.py
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/usr/local/lib64/python3.6/site-packages/pandas/tests/api/test_api.py
(8539B)
import subprocess import sys from typing import List import pytest import pandas as pd from pandas import api, compat import pandas._testing as tm class Base: def check(self, namespace, expected, ignored=None): # see which names are in the namespace, minus optional # ignored ones # compare vs the expected result = sorted(f for f in dir(namespace) if not f.startswith("__")) if ignored is not None: result = sorted(set(result) - set(ignored)) expected = sorted(expected) tm.assert_almost_equal(result, expected) class TestPDApi(Base): # these are optionally imported based on testing # & need to be ignored ignored = ["tests", "locale", "conftest"] # top-level sub-packages lib = [ "api", "arrays", "compat", "core", "errors", "pandas", "plotting", "test", "testing", "tseries", "util", "options", "io", ] # these are already deprecated; awaiting removal deprecated_modules: List[str] = ["np", "datetime"] # misc misc = ["IndexSlice", "NaT", "NA"] # top-level classes classes = [ "Categorical", "CategoricalIndex", "DataFrame", "DateOffset", "DatetimeIndex", "ExcelFile", "ExcelWriter", "Float64Index", "Grouper", "HDFStore", "Index", "Int64Index", "MultiIndex", "Period", "PeriodIndex", "RangeIndex", "UInt64Index", "Series", "SparseDtype", "StringDtype", "Timedelta", "TimedeltaIndex", "Timestamp", "Interval", "IntervalIndex", "CategoricalDtype", "PeriodDtype", "IntervalDtype", "DatetimeTZDtype", "BooleanDtype", "Int8Dtype", "Int16Dtype", "Int32Dtype", "Int64Dtype", "UInt8Dtype", "UInt16Dtype", "UInt32Dtype", "UInt64Dtype", "NamedAgg", ] # these are already deprecated; awaiting removal deprecated_classes: List[str] = [] # these should be deprecated in the future deprecated_classes_in_future: List[str] = ["SparseArray"] if not compat.PY37: classes.extend(["Panel", "SparseSeries", "SparseDataFrame"]) # deprecated_modules.extend(["np", "datetime"]) # deprecated_classes_in_future.extend(["SparseArray"]) # external modules exposed in pandas namespace modules: List[str] = [] # top-level functions funcs = [ "array", "bdate_range", "concat", "crosstab", "cut", "date_range", "interval_range", "eval", "factorize", "get_dummies", "infer_freq", "isna", "isnull", "lreshape", "melt", "notna", "notnull", "offsets", "merge", "merge_ordered", "merge_asof", "period_range", "pivot", "pivot_table", "qcut", "show_versions", "timedelta_range", "unique", "value_counts", "wide_to_long", ] # top-level option funcs funcs_option = [ "reset_option", "describe_option", "get_option", "option_context", "set_option", "set_eng_float_format", ] # top-level read_* funcs funcs_read = [ "read_clipboard", "read_csv", "read_excel", "read_fwf", "read_gbq", "read_hdf", "read_html", "read_json", "read_pickle", "read_sas", "read_sql", "read_sql_query", "read_sql_table", "read_stata", "read_table", "read_feather", "read_parquet", "read_orc", "read_spss", ] # top-level json funcs funcs_json = ["json_normalize"] # top-level to_* funcs funcs_to = ["to_datetime", "to_numeric", "to_pickle", "to_timedelta"] # top-level to deprecate in the future deprecated_funcs_in_future: List[str] = [] # these are already deprecated; awaiting removal deprecated_funcs: List[str] = [] # private modules in pandas namespace private_modules = [ "_config", "_hashtable", "_lib", "_libs", "_np_version_under1p16", "_np_version_under1p17", "_np_version_under1p18", "_is_numpy_dev", "_testing", "_tslib", "_typing", "_version", ] def test_api(self): checkthese = ( self.lib + self.misc + self.modules + self.classes + self.funcs + self.funcs_option + self.funcs_read + self.funcs_json + self.funcs_to + self.private_modules ) if not compat.PY37: checkthese.extend( self.deprecated_modules + self.deprecated_classes + self.deprecated_classes_in_future + self.deprecated_funcs_in_future + self.deprecated_funcs ) self.check(pd, checkthese, self.ignored) def test_depr(self): deprecated_list = ( self.deprecated_modules + self.deprecated_classes + self.deprecated_classes_in_future + self.deprecated_funcs + self.deprecated_funcs_in_future ) for depr in deprecated_list: with tm.assert_produces_warning(FutureWarning): deprecated = getattr(pd, depr) if not compat.PY37: if depr == "datetime": deprecated.__getattr__(dir(pd.datetime.datetime)[-1]) elif depr == "SparseArray": deprecated([]) else: deprecated.__getattr__(dir(deprecated)[-1]) def test_datetime(): from datetime import datetime import warnings with warnings.catch_warnings(): warnings.simplefilter("ignore", FutureWarning) assert datetime(2015, 1, 2, 0, 0) == pd.datetime(2015, 1, 2, 0, 0) assert isinstance(pd.datetime(2015, 1, 2, 0, 0), pd.datetime) def test_sparsearray(): import warnings with warnings.catch_warnings(): warnings.simplefilter("ignore", FutureWarning) assert isinstance(pd.array([1, 2, 3], dtype="Sparse"), pd.SparseArray) def test_np(): import warnings import numpy as np with warnings.catch_warnings(): warnings.simplefilter("ignore", FutureWarning) assert (pd.np.arange(0, 10) == np.arange(0, 10)).all() class TestApi(Base): allowed = ["types", "extensions", "indexers"] def test_api(self): self.check(api, self.allowed) class TestTesting(Base): funcs = [ "assert_frame_equal", "assert_series_equal", "assert_index_equal", "assert_extension_array_equal", ] def test_testing(self): from pandas import testing self.check(testing, self.funcs) def test_util_testing_deprecated(self): # avoid cache state affecting the test sys.modules.pop("pandas.util.testing", None) with tm.assert_produces_warning(FutureWarning) as m: import pandas.util.testing # noqa: F401 assert "pandas.util.testing is deprecated" in str(m[0].message) assert "pandas.testing instead" in str(m[0].message) def test_util_testing_deprecated_direct(self): # avoid cache state affecting the test sys.modules.pop("pandas.util.testing", None) with tm.assert_produces_warning(FutureWarning) as m: from pandas.util.testing import assert_series_equal # noqa: F401 assert "pandas.util.testing is deprecated" in str(m[0].message) assert "pandas.testing instead" in str(m[0].message) def test_util_in_top_level(self): # in a subprocess to avoid import caching issues out = subprocess.check_output( [ sys.executable, "-c", "import pandas; pandas.util.testing.assert_series_equal", ], stderr=subprocess.STDOUT, ).decode() assert "pandas.util.testing is deprecated" in out with pytest.raises(AttributeError, match="foo"): pd.util.foo
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