demo + utils venv
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# -*- coding: utf-8 -*-
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import sys
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import pandas as pd
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from pandas import api
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from pandas.util import testing as tm
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class Base(object):
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def check(self, namespace, expected, ignored=None):
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# see which names are in the namespace, minus optional
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# ignored ones
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# compare vs the expected
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result = sorted(f for f in dir(namespace) if not f.startswith('_'))
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if ignored is not None:
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result = sorted(list(set(result) - set(ignored)))
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expected = sorted(expected)
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tm.assert_almost_equal(result, expected)
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class TestPDApi(Base):
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# these are optionally imported based on testing
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# & need to be ignored
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ignored = ['tests', 'locale', 'conftest']
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# top-level sub-packages
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lib = ['api', 'arrays', 'compat', 'core', 'errors', 'pandas',
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'plotting', 'test', 'testing', 'tseries',
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'util', 'options', 'io']
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# these are already deprecated; awaiting removal
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deprecated_modules = []
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# misc
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misc = ['IndexSlice', 'NaT']
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# top-level classes
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classes = ['Categorical', 'CategoricalIndex', 'DataFrame', 'DateOffset',
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'DatetimeIndex', 'ExcelFile', 'ExcelWriter', 'Float64Index',
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'Grouper', 'HDFStore', 'Index', 'Int64Index', 'MultiIndex',
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'Period', 'PeriodIndex', 'RangeIndex', 'UInt64Index',
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'Series', 'SparseArray', 'SparseDataFrame', 'SparseDtype',
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'SparseSeries', 'Timedelta',
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'TimedeltaIndex', 'Timestamp', 'Interval', 'IntervalIndex',
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'CategoricalDtype', 'PeriodDtype', 'IntervalDtype',
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'DatetimeTZDtype',
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'Int8Dtype', 'Int16Dtype', 'Int32Dtype', 'Int64Dtype',
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'UInt8Dtype', 'UInt16Dtype', 'UInt32Dtype', 'UInt64Dtype',
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]
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# these are already deprecated; awaiting removal
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deprecated_classes = ['TimeGrouper']
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# these should be deprecated in the future
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deprecated_classes_in_future = ['Panel']
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# external modules exposed in pandas namespace
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modules = ['np', 'datetime']
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# top-level functions
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funcs = ['array', 'bdate_range', 'concat', 'crosstab', 'cut',
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'date_range', 'interval_range', 'eval',
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'factorize', 'get_dummies',
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'infer_freq', 'isna', 'isnull', 'lreshape',
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'melt', 'notna', 'notnull', 'offsets',
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'merge', 'merge_ordered', 'merge_asof',
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'period_range',
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'pivot', 'pivot_table', 'qcut',
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'show_versions', 'timedelta_range', 'unique',
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'value_counts', 'wide_to_long']
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# top-level option funcs
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funcs_option = ['reset_option', 'describe_option', 'get_option',
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'option_context', 'set_option',
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'set_eng_float_format']
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# top-level read_* funcs
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funcs_read = ['read_clipboard', 'read_csv', 'read_excel', 'read_fwf',
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'read_gbq', 'read_hdf', 'read_html', 'read_json',
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'read_msgpack', 'read_pickle', 'read_sas', 'read_sql',
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'read_sql_query', 'read_sql_table', 'read_stata',
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'read_table', 'read_feather', 'read_parquet']
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# top-level to_* funcs
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funcs_to = ['to_datetime', 'to_msgpack',
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'to_numeric', 'to_pickle', 'to_timedelta']
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# top-level to deprecate in the future
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deprecated_funcs_in_future = []
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# these are already deprecated; awaiting removal
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deprecated_funcs = []
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def test_api(self):
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self.check(pd,
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self.lib + self.misc +
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self.modules + self.deprecated_modules +
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self.classes + self.deprecated_classes +
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self.deprecated_classes_in_future +
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self.funcs + self.funcs_option +
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self.funcs_read + self.funcs_to +
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self.deprecated_funcs_in_future +
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self.deprecated_funcs,
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self.ignored)
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class TestApi(Base):
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allowed = ['types', 'extensions']
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def test_api(self):
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self.check(api, self.allowed)
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class TestTesting(Base):
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funcs = ['assert_frame_equal', 'assert_series_equal',
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'assert_index_equal']
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def test_testing(self):
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from pandas import testing
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self.check(testing, self.funcs)
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class TestTopLevelDeprecations(object):
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# top-level API deprecations
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# GH 13790
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def test_TimeGrouper(self):
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with tm.assert_produces_warning(FutureWarning,
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check_stacklevel=False):
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pd.TimeGrouper(freq='D')
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class TestCDateRange(object):
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def test_deprecation_cdaterange(self):
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# GH17596
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from pandas.core.indexes.datetimes import cdate_range
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with tm.assert_produces_warning(FutureWarning,
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check_stacklevel=False):
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cdate_range('2017-01-01', '2017-12-31')
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class TestCategoricalMove(object):
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def test_categorical_move(self):
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# May have been cached by another import, e.g. pickle tests.
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sys.modules.pop("pandas.core.categorical", None)
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with tm.assert_produces_warning(FutureWarning):
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from pandas.core.categorical import Categorical # noqa
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sys.modules.pop("pandas.core.categorical", None)
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with tm.assert_produces_warning(FutureWarning):
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from pandas.core.categorical import CategoricalDtype # noqa
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@@ -0,0 +1,42 @@
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# -*- coding: utf-8 -*-
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from pandas.api import types
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from pandas.util import testing as tm
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from .test_api import Base
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class TestTypes(Base):
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allowed = ['is_bool', 'is_bool_dtype',
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'is_categorical', 'is_categorical_dtype', 'is_complex',
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'is_complex_dtype', 'is_datetime64_any_dtype',
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'is_datetime64_dtype', 'is_datetime64_ns_dtype',
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'is_datetime64tz_dtype', 'is_dtype_equal',
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'is_extension_type', 'is_float', 'is_float_dtype',
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'is_int64_dtype', 'is_integer',
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'is_integer_dtype', 'is_number', 'is_numeric_dtype',
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'is_object_dtype', 'is_scalar', 'is_sparse',
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'is_string_dtype', 'is_signed_integer_dtype',
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'is_timedelta64_dtype', 'is_timedelta64_ns_dtype',
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'is_unsigned_integer_dtype',
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'is_period_dtype', 'is_interval', 'is_interval_dtype',
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'is_re', 'is_re_compilable',
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'is_dict_like', 'is_iterator', 'is_file_like',
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'is_list_like', 'is_hashable', 'is_array_like',
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'is_named_tuple',
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'pandas_dtype', 'union_categoricals', 'infer_dtype',
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'is_extension_array_dtype']
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deprecated = ['is_period', 'is_datetimetz']
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dtypes = ['CategoricalDtype', 'DatetimeTZDtype',
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'PeriodDtype', 'IntervalDtype']
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def test_types(self):
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self.check(types, self.allowed + self.dtypes + self.deprecated)
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def test_deprecated_from_api_types(self):
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for t in self.deprecated:
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with tm.assert_produces_warning(FutureWarning,
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check_stacklevel=False):
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getattr(types, t)(1)
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