demo + utils venv

2019-02-03 13:40:10 +01:00
parent 5fa112490b
commit cfa9c8ea23
5994 changed files with 1353819 additions and 0 deletions
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+# -*- coding: utf-8 -*-
+"""
+Testing that we work in the downstream packages
+"""
+import importlib
+import subprocess
+import sys
+
+import numpy as np  # noqa
+import pytest
+
+from pandas.compat import PY36
+
+from pandas import DataFrame
+from pandas.util import 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
+
+    if PY36:
+        try:
+            return importlib.import_module(name)
+        except ModuleNotFoundError:  # noqa
+            pytest.skip("skipping as {} not available".format(name))
+
+    else:
+        try:
+            return importlib.import_module(name)
+        except ImportError as e:
+            if "No module named" in str(e) and name in str(e):
+                pytest.skip("skipping as {} not available".format(name))
+            raise
+
+
+@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
+
+
+def test_oo_optimizable():
+    # GH 21071
+    subprocess.check_call([sys.executable, "-OO", "-c", "import pandas"])
+
+
+@tm.network
+# Cython import warning
+@pytest.mark.filterwarnings("ignore:can't:ImportWarning")
+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 svm, datasets
+
+    digits = datasets.load_digits()
+    clf = svm.SVC(gamma=0.001, C=100.)
+    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="0.7.0 pending")
+@tm.network
+def test_pandas_datareader():
+
+    pandas_datareader = import_module('pandas_datareader')  # noqa
+    pandas_datareader.DataReader(
+        'F', 'quandl', '2017-01-01', '2017-02-01')
+
+
+# importing from pandas, Cython import warning
+@pytest.mark.filterwarnings("ignore:The 'warn':DeprecationWarning")
+@pytest.mark.filterwarnings("ignore:pandas.util:DeprecationWarning")
+@pytest.mark.filterwarnings("ignore:can't resolve:ImportWarning")
+def test_geopandas():
+
+    geopandas = import_module('geopandas')  # noqa
+    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")
+def test_pyarrow(df):
+
+    pyarrow = import_module('pyarrow')  # noqa
+    table = pyarrow.Table.from_pandas(df)
+    result = table.to_pandas()
+    tm.assert_frame_equal(result, df)