craftbeerpi4-pione/venv/lib/python3.8/site-packages/pandas/tests/test_downstream.py

176 lines
5 KiB
Python

"""
Testing that we work in the downstream packages
"""
import importlib
import subprocess
import sys
import numpy as np # noqa
import pytest
import pandas.util._test_decorators as td
from pandas import DataFrame
import pandas._testing as tm
def import_module(name):
# we *only* want to skip if the module is truly not available
# and NOT just an actual import error because of pandas changes
try:
return importlib.import_module(name)
except ModuleNotFoundError:
pytest.skip(f"skipping as {name} not available")
@pytest.fixture
def df():
return DataFrame({"A": [1, 2, 3]})
def test_dask(df):
toolz = import_module("toolz") # noqa
dask = import_module("dask") # noqa
import dask.dataframe as dd
ddf = dd.from_pandas(df, npartitions=3)
assert ddf.A is not None
assert ddf.compute() is not None
def test_xarray(df):
xarray = import_module("xarray") # noqa
assert df.to_xarray() is not None
@td.skip_if_no("cftime")
@td.skip_if_no("xarray", "0.10.4")
def test_xarray_cftimeindex_nearest():
# https://github.com/pydata/xarray/issues/3751
import cftime
import xarray
times = xarray.cftime_range("0001", periods=2)
result = times.get_loc(cftime.DatetimeGregorian(2000, 1, 1), method="nearest")
expected = 1
assert result == expected
def test_oo_optimizable():
# GH 21071
subprocess.check_call([sys.executable, "-OO", "-c", "import pandas"])
@tm.network
# Cython import warning
@pytest.mark.filterwarnings("ignore:pandas.util.testing is deprecated")
@pytest.mark.filterwarnings("ignore:can't:ImportWarning")
@pytest.mark.filterwarnings(
# patsy needs to update their imports
"ignore:Using or importing the ABCs from 'collections:DeprecationWarning"
)
def test_statsmodels():
statsmodels = import_module("statsmodels") # noqa
import statsmodels.api as sm
import statsmodels.formula.api as smf
df = sm.datasets.get_rdataset("Guerry", "HistData").data
smf.ols("Lottery ~ Literacy + np.log(Pop1831)", data=df).fit()
# Cython import warning
@pytest.mark.filterwarnings("ignore:can't:ImportWarning")
def test_scikit_learn(df):
sklearn = import_module("sklearn") # noqa
from sklearn import datasets, svm
digits = datasets.load_digits()
clf = svm.SVC(gamma=0.001, C=100.0)
clf.fit(digits.data[:-1], digits.target[:-1])
clf.predict(digits.data[-1:])
# Cython import warning and traitlets
@tm.network
@pytest.mark.filterwarnings("ignore")
def test_seaborn():
seaborn = import_module("seaborn")
tips = seaborn.load_dataset("tips")
seaborn.stripplot(x="day", y="total_bill", data=tips)
def test_pandas_gbq(df):
pandas_gbq = import_module("pandas_gbq") # noqa
@pytest.mark.xfail(reason="0.8.1 tries to import urlencode from pd.io.common")
@tm.network
def test_pandas_datareader():
pandas_datareader = import_module("pandas_datareader")
pandas_datareader.DataReader("F", "quandl", "2017-01-01", "2017-02-01")
# importing from pandas, Cython import warning
@pytest.mark.filterwarnings("ignore:can't resolve:ImportWarning")
def test_geopandas():
geopandas = import_module("geopandas")
fp = geopandas.datasets.get_path("naturalearth_lowres")
assert geopandas.read_file(fp) is not None
# Cython import warning
@pytest.mark.filterwarnings("ignore:can't resolve:ImportWarning")
@pytest.mark.filterwarnings("ignore:RangeIndex.* is deprecated:DeprecationWarning")
def test_pyarrow(df):
pyarrow = import_module("pyarrow")
table = pyarrow.Table.from_pandas(df)
result = table.to_pandas()
tm.assert_frame_equal(result, df)
def test_missing_required_dependency():
# GH 23868
# To ensure proper isolation, we pass these flags
# -S : disable site-packages
# -s : disable user site-packages
# -E : disable PYTHON* env vars, especially PYTHONPATH
# https://github.com/MacPython/pandas-wheels/pull/50
pyexe = sys.executable.replace("\\", "/")
# We skip this test if pandas is installed as a site package. We first
# import the package normally and check the path to the module before
# executing the test which imports pandas with site packages disabled.
call = [pyexe, "-c", "import pandas;print(pandas.__file__)"]
output = subprocess.check_output(call).decode()
if "site-packages" in output:
pytest.skip("pandas installed as site package")
# This test will fail if pandas is installed as a site package. The flags
# prevent pandas being imported and the test will report Failed: DID NOT
# RAISE <class 'subprocess.CalledProcessError'>
call = [pyexe, "-sSE", "-c", "import pandas"]
msg = (
rf"Command '\['{pyexe}', '-sSE', '-c', 'import pandas'\]' "
"returned non-zero exit status 1."
)
with pytest.raises(subprocess.CalledProcessError, match=msg) as exc:
subprocess.check_output(call, stderr=subprocess.STDOUT)
output = exc.value.stdout.decode()
for name in ["numpy", "pytz", "dateutil"]:
assert name in output