MAINT: Fix pandas imports

Modernize pandas compat imports to reflect min version

statsmodels/compat/pandas.py

@@ -4,35 +4,25 @@
 
 import pandas
 
+__all__ = ['assert_frame_equal', 'assert_index_equal', 'assert_series_equal',
+           'data_klasses', 'frequencies', 'is_numeric_dtype', 'testing']
 
 version = LooseVersion(pandas.__version__)
-pandas_lte_0_19_2 = version <= LooseVersion('0.19.2')
-pandas_gt_0_19_2 = version > LooseVersion('0.19.2')
-pandas_ge_20_0 = version >= LooseVersion('0.20.0')
-pandas_ge_25_0 = version >= LooseVersion('0.25.0')
+pandas_lt_25_0 = version < LooseVersion('0.25.0')
 
 try:
-    from pandas.api.types import is_numeric_dtype  # noqa:F401
+    from pandas.api.types import is_numeric_dtype
 except ImportError:
-    from pandas.core.common import is_numeric_dtype  # noqa:F401
-
-if pandas_ge_25_0:
-    from pandas.tseries import frequencies  # noqa:F401
-    data_klasses = (pandas.Series, pandas.DataFrame)
-elif pandas_ge_20_0:
-    try:
-        from pandas.tseries import offsets as frequencies
-    except ImportError:
-        from pandas.tseries import frequencies
-    data_klasses = (pandas.Series, pandas.DataFrame, pandas.Panel)
-else:
-    try:
-        import pandas.tseries.frequencies as frequencies
-    except ImportError:
-        from pandas.core import datetools as frequencies  # noqa
-
-    data_klasses = (pandas.Series, pandas.DataFrame, pandas.Panel,
-                    pandas.WidePanel)
+    from pandas.core.common import is_numeric_dtype
+
+try:
+    from pandas.tseries import offsets as frequencies
+except ImportError:
+    from pandas.tseries import frequencies
+
+data_klasses = (pandas.Series, pandas.DataFrame)
+if pandas_lt_25_0:
+    data_klasses += (pandas.Panel,)
 
 try:
     import pandas.testing as testing

statsmodels/graphics/tests/test_tsaplots.py

@@ -6,7 +6,6 @@
 import pytest
 
 import statsmodels.api as sm
-from statsmodels.compat.pandas import pandas_lte_0_19_2
 from statsmodels.graphics.tsaplots import (plot_acf, plot_pacf, month_plot,
                                            quarter_plot, seasonal_plot)
 import statsmodels.tsa.arima_process as tsp
@@ -153,7 +152,6 @@ def test_plot_pacf_irregular(close_figures):
     plot_pacf(pacf, ax=ax, alpha=None, zero=False)
 
 
-@pytest.mark.skipif(pandas_lte_0_19_2, reason='pandas too old')
 @pytest.mark.matplotlib
 def test_plot_month(close_figures):
     dta = sm.datasets.elnino.load_pandas().data
@@ -177,7 +175,6 @@ def test_plot_month(close_figures):
     fig = month_plot(dta)
 
 
-@pytest.mark.skipif(pandas_lte_0_19_2, reason='pandas too old')
 @pytest.mark.matplotlib
 def test_plot_quarter(close_figures):
     dta = sm.datasets.macrodata.load_pandas().data

statsmodels/tsa/vector_ar/tests/test_dynamic.py

@@ -1,14 +1,11 @@
-
 import numpy as np
 import pandas as pd
 import pytest
 from numpy.testing import assert_allclose
 from pandas.util.testing import assert_frame_equal, assert_series_equal
 
-from statsmodels.compat.pandas import pandas_gt_0_19_2
-
-pytestmark = pytest.mark.skipif(pandas_gt_0_19_2,
-                                reason='Requires pandas <= 0.19.2')
+pytestmark = pytest.mark.skip('Deprecated, pending removal. Reuqires pandas'
+                              '< 0.19.2, which are unsupported.')
 
 from statsmodels.tsa.vector_ar.dynamic import _window_ols  # noqa:E402