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from __future__ import annotations
import pytest
import pandas as pd
from pandas import api
import pandas._testing as tm
from pandas.api import (
extensions as api_extensions,
indexers as api_indexers,
interchange as api_interchange,
types as api_types,
typing as api_typing,
)
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("__") and f != "annotations"
)
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", "_version_meson"]
# top-level sub-packages
public_lib = [
"api",
"arrays",
"options",
"test",
"testing",
"errors",
"plotting",
"io",
"tseries",
]
private_lib = ["compat", "core", "pandas", "util", "_built_with_meson"]
# misc
misc = ["IndexSlice", "NaT", "NA"]
# top-level classes
classes = [
"ArrowDtype",
"Categorical",
"CategoricalIndex",
"DataFrame",
"DateOffset",
"DatetimeIndex",
"ExcelFile",
"ExcelWriter",
"Flags",
"Grouper",
"HDFStore",
"Index",
"MultiIndex",
"Period",
"PeriodIndex",
"RangeIndex",
"Series",
"SparseDtype",
"StringDtype",
"Timedelta",
"TimedeltaIndex",
"Timestamp",
"Interval",
"IntervalIndex",
"CategoricalDtype",
"PeriodDtype",
"IntervalDtype",
"DatetimeTZDtype",
"BooleanDtype",
"Int8Dtype",
"Int16Dtype",
"Int32Dtype",
"Int64Dtype",
"UInt8Dtype",
"UInt16Dtype",
"UInt32Dtype",
"UInt64Dtype",
"Float32Dtype",
"Float64Dtype",
"NamedAgg",
]
# these are already deprecated; awaiting removal
deprecated_classes: list[str] = []
# 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",
"from_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_xml",
"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",
"_libs",
"_is_numpy_dev",
"_pandas_datetime_CAPI",
"_pandas_parser_CAPI",
"_testing",
"_typing",
]
if not pd._built_with_meson:
private_modules.append("_version")
def test_api(self):
checkthese = (
self.public_lib
+ self.private_lib
+ self.misc
+ self.modules
+ self.classes
+ self.funcs
+ self.funcs_option
+ self.funcs_read
+ self.funcs_json
+ self.funcs_to
+ self.private_modules
)
self.check(namespace=pd, expected=checkthese, ignored=self.ignored)
def test_api_all(self):
expected = set(
self.public_lib
+ self.misc
+ self.modules
+ self.classes
+ self.funcs
+ self.funcs_option
+ self.funcs_read
+ self.funcs_json
+ self.funcs_to
) - set(self.deprecated_classes)
actual = set(pd.__all__)
extraneous = actual - expected
assert not extraneous
missing = expected - actual
assert not missing
def test_depr(self):
deprecated_list = (
self.deprecated_classes
+ self.deprecated_funcs
+ self.deprecated_funcs_in_future
)
for depr in deprecated_list:
with tm.assert_produces_warning(FutureWarning):
_ = getattr(pd, depr)
class TestApi(Base):
allowed_api_dirs = [
"types",
"extensions",
"indexers",
"interchange",
"typing",
]
allowed_typing = [
"DataFrameGroupBy",
"DatetimeIndexResamplerGroupby",
"Expanding",
"ExpandingGroupby",
"ExponentialMovingWindow",
"ExponentialMovingWindowGroupby",
"JsonReader",
"NaTType",
"NAType",
"PeriodIndexResamplerGroupby",
"Resampler",
"Rolling",
"RollingGroupby",
"SeriesGroupBy",
"StataReader",
"TimedeltaIndexResamplerGroupby",
"TimeGrouper",
"Window",
]
allowed_api_types = [
"is_any_real_numeric_dtype",
"is_array_like",
"is_bool",
"is_bool_dtype",
"is_categorical_dtype",
"is_complex",
"is_complex_dtype",
"is_datetime64_any_dtype",
"is_datetime64_dtype",
"is_datetime64_ns_dtype",
"is_datetime64tz_dtype",
"is_dict_like",
"is_dtype_equal",
"is_extension_array_dtype",
"is_file_like",
"is_float",
"is_float_dtype",
"is_hashable",
"is_int64_dtype",
"is_integer",
"is_integer_dtype",
"is_interval",
"is_interval_dtype",
"is_iterator",
"is_list_like",
"is_named_tuple",
"is_number",
"is_numeric_dtype",
"is_object_dtype",
"is_period_dtype",
"is_re",
"is_re_compilable",
"is_scalar",
"is_signed_integer_dtype",
"is_sparse",
"is_string_dtype",
"is_timedelta64_dtype",
"is_timedelta64_ns_dtype",
"is_unsigned_integer_dtype",
"pandas_dtype",
"infer_dtype",
"union_categoricals",
"CategoricalDtype",
"DatetimeTZDtype",
"IntervalDtype",
"PeriodDtype",
]
allowed_api_interchange = ["from_dataframe", "DataFrame"]
allowed_api_indexers = [
"check_array_indexer",
"BaseIndexer",
"FixedForwardWindowIndexer",
"VariableOffsetWindowIndexer",
]
allowed_api_extensions = [
"no_default",
"ExtensionDtype",
"register_extension_dtype",
"register_dataframe_accessor",
"register_index_accessor",
"register_series_accessor",
"take",
"ExtensionArray",
"ExtensionScalarOpsMixin",
]
def test_api(self):
self.check(api, self.allowed_api_dirs)
def test_api_typing(self):
self.check(api_typing, self.allowed_typing)
def test_api_types(self):
self.check(api_types, self.allowed_api_types)
def test_api_interchange(self):
self.check(api_interchange, self.allowed_api_interchange)
def test_api_indexers(self):
self.check(api_indexers, self.allowed_api_indexers)
def test_api_extensions(self):
self.check(api_extensions, self.allowed_api_extensions)
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_in_top_level(self):
with pytest.raises(AttributeError, match="foo"):
pd.util.foo
def test_pandas_array_alias():
msg = "PandasArray has been renamed NumpyExtensionArray"
with tm.assert_produces_warning(FutureWarning, match=msg):
res = pd.arrays.PandasArray
assert res is pd.arrays.NumpyExtensionArray
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