Merge pull request statsmodels#5977 from bashtage/fix-docbuild

bashtage · web-flow · commit e82029522b7e · 2019-07-19T08:15:15.000+01:00
MAINT: Cleanup legacy imports
diff --git a/docs/source/gettingstarted.rst b/docs/source/gettingstarted.rst
@@ -15,7 +15,6 @@ few modules and functions:
 
 .. ipython:: python
 
-    from __future__ import print_function
     import statsmodels.api as sm
     import pandas
     from patsy import dmatrices
diff --git a/examples/incomplete/arima.py b/examples/incomplete/arima.py
@@ -1,4 +1,3 @@
-from __future__ import print_function
 from statsmodels.datasets.macrodata import load_pandas
 from statsmodels.tsa.base.datetools import dates_from_range
 from statsmodels.tsa.arima_model import ARIMA
diff --git a/examples/incomplete/wls_extended.py b/examples/incomplete/wls_extended.py
@@ -5,7 +5,6 @@
 at outliers, compares with RLM and a short bootstrap
 
 """
-from __future__ import print_function
 import numpy as np
 import statsmodels.api as sm
 import matplotlib.pyplot as plt
diff --git a/examples/notebooks/contrasts.ipynb b/examples/notebooks/contrasts.ipynb
@@ -15,7 +15,6 @@
    },
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "import statsmodels.api as sm"
    ]
diff --git a/examples/notebooks/discrete_choice_example.ipynb b/examples/notebooks/discrete_choice_example.ipynb
@@ -38,7 +38,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "import pandas as pd\n",
     "from scipy import stats\n",
diff --git a/examples/notebooks/discrete_choice_overview.ipynb b/examples/notebooks/discrete_choice_overview.ipynb
@@ -15,7 +15,6 @@
    },
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "import statsmodels.api as sm"
    ]
diff --git a/examples/notebooks/formulas.ipynb b/examples/notebooks/formulas.ipynb
@@ -26,7 +26,6 @@
    },
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np  # noqa:F401  needed in namespace for patsy\n",
     "import statsmodels.api as sm"
    ]
diff --git a/examples/notebooks/generic_mle.ipynb b/examples/notebooks/generic_mle.ipynb
@@ -34,7 +34,6 @@
    },
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "from scipy import stats\n",
     "import statsmodels.api as sm\n",
diff --git a/examples/notebooks/glm.ipynb b/examples/notebooks/glm.ipynb
@@ -24,7 +24,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "import statsmodels.api as sm\n",
     "from scipy import stats\n",
diff --git a/examples/notebooks/glm_formula.ipynb b/examples/notebooks/glm_formula.ipynb
@@ -24,7 +24,6 @@
    },
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import statsmodels.api as sm\n",
     "import statsmodels.formula.api as smf\n",
     "star98 = sm.datasets.star98.load_pandas().data\n",
diff --git a/examples/notebooks/gls.ipynb b/examples/notebooks/gls.ipynb
@@ -15,7 +15,6 @@
    },
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import statsmodels.api as sm\n"
    ]
   },
diff --git a/examples/notebooks/interactions_anova.ipynb b/examples/notebooks/interactions_anova.ipynb
@@ -33,8 +33,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
-    "from statsmodels.compat import urlopen\n",
+    "from urllib.request import urlopen\n",
     "import numpy as np\n",
     "np.set_printoptions(precision=4, suppress=True)\n",
     "\n",
diff --git a/examples/notebooks/ols.ipynb b/examples/notebooks/ols.ipynb
@@ -24,7 +24,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "import statsmodels.api as sm\n",
     "import matplotlib.pyplot as plt\n",
diff --git a/examples/notebooks/plots_boxplots.ipynb b/examples/notebooks/plots_boxplots.ipynb
@@ -22,7 +22,6 @@
    },
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "%matplotlib inline\n",
     "\n",
     "import numpy as np\n",
diff --git a/examples/notebooks/predict.ipynb b/examples/notebooks/predict.ipynb
@@ -24,7 +24,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "import statsmodels.api as sm"
    ]
diff --git a/examples/notebooks/quantile_regression.ipynb b/examples/notebooks/quantile_regression.ipynb
@@ -40,7 +40,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "import pandas as pd\n",
     "import statsmodels.api as sm\n",
diff --git a/examples/notebooks/regression_diagnostics.ipynb b/examples/notebooks/regression_diagnostics.ipynb
@@ -42,7 +42,6 @@
    },
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "from statsmodels.compat import lzip\n",
     "\n",
     "import numpy as np\n",
diff --git a/examples/notebooks/regression_plots.ipynb b/examples/notebooks/regression_plots.ipynb
@@ -26,7 +26,6 @@
    },
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "from statsmodels.compat import lzip\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
diff --git a/examples/notebooks/robust_models_0.ipynb b/examples/notebooks/robust_models_0.ipynb
@@ -24,7 +24,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "import statsmodels.api as sm\n",
     "import matplotlib.pyplot as plt\n",
diff --git a/examples/notebooks/robust_models_1.ipynb b/examples/notebooks/robust_models_1.ipynb
@@ -26,7 +26,6 @@
    },
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "from statsmodels.compat import lmap\n",
     "import numpy as np\n",
     "from scipy import stats\n",
diff --git a/examples/notebooks/statespace_arma_0.ipynb b/examples/notebooks/statespace_arma_0.ipynb
@@ -33,7 +33,6 @@
    },
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "from scipy import stats\n",
     "import pandas as pd\n",
diff --git a/examples/notebooks/tsa_arma_0.ipynb b/examples/notebooks/tsa_arma_0.ipynb
@@ -24,7 +24,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "from scipy import stats\n",
     "import pandas as pd\n",
diff --git a/examples/notebooks/tsa_arma_1.ipynb b/examples/notebooks/tsa_arma_1.ipynb
@@ -24,7 +24,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "import statsmodels.api as sm\n",
     "import pandas as pd\n",
diff --git a/examples/notebooks/tsa_dates.ipynb b/examples/notebooks/tsa_dates.ipynb
@@ -15,7 +15,6 @@
    },
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import statsmodels.api as sm\n",
     "import numpy as np\n",
     "import pandas as pd"
diff --git a/examples/notebooks/tsa_filters.ipynb b/examples/notebooks/tsa_filters.ipynb
@@ -24,7 +24,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import pandas as pd\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
diff --git a/examples/notebooks/wls.ipynb b/examples/notebooks/wls.ipynb
@@ -24,7 +24,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "from scipy import stats\n",
     "import statsmodels.api as sm\n",
diff --git a/examples/python/contrasts.py b/examples/python/contrasts.py
@@ -9,7 +9,6 @@
 
 # # Contrasts Overview
 
-from __future__ import print_function
 import numpy as np
 import statsmodels.api as sm
 
diff --git a/examples/python/discrete_choice_example.py b/examples/python/discrete_choice_example.py
@@ -14,7 +14,6 @@
 # A survey of women only was conducted in 1974 by *Redbook* asking about
 # extramarital affairs.
 
-from __future__ import print_function
 import numpy as np
 import pandas as pd
 from scipy import stats
diff --git a/examples/python/discrete_choice_overview.py b/examples/python/discrete_choice_overview.py
@@ -9,7 +9,6 @@
 
 # # Discrete Choice Models Overview
 
-from __future__ import print_function
 import numpy as np
 import statsmodels.api as sm
 
diff --git a/examples/python/formulas.py b/examples/python/formulas.py
@@ -20,7 +20,6 @@
 #
 # ## Loading modules and functions
 
-from __future__ import print_function
 import numpy as np  # noqa:F401  needed in namespace for patsy
 import statsmodels.api as sm
 
diff --git a/examples/python/generic_mle.py b/examples/python/generic_mle.py
@@ -22,7 +22,6 @@
 
 # ## Example 1: Probit model
 
-from __future__ import print_function
 import numpy as np
 from scipy import stats
 import statsmodels.api as sm
diff --git a/examples/python/glm.py b/examples/python/glm.py
@@ -9,7 +9,6 @@
 
 # # Generalized Linear Models
 
-from __future__ import print_function
 import numpy as np
 import statsmodels.api as sm
 from scipy import stats
diff --git a/examples/python/glm_formula.py b/examples/python/glm_formula.py
@@ -15,7 +15,6 @@
 # To begin, we load the ``Star98`` dataset and we construct a formula and
 # pre-process the data:
 
-from __future__ import print_function
 import statsmodels.api as sm
 import statsmodels.formula.api as smf
 star98 = sm.datasets.star98.load_pandas().data
diff --git a/examples/python/gls.py b/examples/python/gls.py
@@ -9,7 +9,6 @@
 
 # # Generalized Least Squares
 
-from __future__ import print_function
 import statsmodels.api as sm
 
 # The Longley dataset is a time series dataset:
diff --git a/examples/python/interactions_anova.py b/examples/python/interactions_anova.py
@@ -14,7 +14,6 @@
 #
 # Download and format data:
 
-from __future__ import print_function
 from statsmodels.compat import urlopen
 import numpy as np
 np.set_printoptions(precision=4, suppress=True)
diff --git a/examples/python/ols.py b/examples/python/ols.py
@@ -9,7 +9,6 @@
 
 # # Ordinary Least Squares
 
-from __future__ import print_function
 import numpy as np
 import statsmodels.api as sm
 import matplotlib.pyplot as plt
diff --git a/examples/python/plots_boxplots.py b/examples/python/plots_boxplots.py
@@ -13,8 +13,6 @@
 # The following illustrates some options for the boxplot in statsmodels.
 # These include `violin_plot` and `bean_plot`.
 
-from __future__ import print_function
-
 import numpy as np
 import matplotlib.pyplot as plt
 import statsmodels.api as sm
diff --git a/examples/python/predict.py b/examples/python/predict.py
@@ -9,7 +9,6 @@
 
 # # Prediction (out of sample)
 
-from __future__ import print_function
 import numpy as np
 import statsmodels.api as sm
 
diff --git a/examples/python/quantile_regression.py b/examples/python/quantile_regression.py
@@ -25,7 +25,6 @@
 # We first need to load some modules and to retrieve the data.
 # Conveniently, the Engel dataset is shipped with ``statsmodels``.
 
-from __future__ import print_function
 import numpy as np
 import pandas as pd
 import statsmodels.api as sm
diff --git a/examples/python/regression_diagnostics.py b/examples/python/regression_diagnostics.py
@@ -23,7 +23,6 @@
 
 # ## Estimate a regression model
 
-from __future__ import print_function
 from statsmodels.compat import lzip
 
 import numpy as np
diff --git a/examples/python/regression_plots.py b/examples/python/regression_plots.py
@@ -9,7 +9,6 @@
 
 # # Regression Plots
 
-from __future__ import print_function
 from statsmodels.compat import lzip
 import numpy as np
 import matplotlib.pyplot as plt
diff --git a/examples/python/robust_models_0.py b/examples/python/robust_models_0.py
@@ -9,7 +9,6 @@
 
 # # Robust Linear Models
 
-from __future__ import print_function
 import numpy as np
 import statsmodels.api as sm
 import matplotlib.pyplot as plt
diff --git a/examples/python/robust_models_1.py b/examples/python/robust_models_1.py
@@ -10,7 +10,6 @@
 
 # # M-Estimators for Robust Linear Modeling
 
-from __future__ import print_function
 from statsmodels.compat import lmap
 import numpy as np
 from scipy import stats
diff --git a/examples/python/statespace_arma_0.py b/examples/python/statespace_arma_0.py
@@ -13,7 +13,6 @@
 # `statsmodels.tsa.statespace.SARIMAX` class rather than the
 # `statsmodels.tsa.ARMA` class.
 
-from __future__ import print_function
 import numpy as np
 from scipy import stats
 import pandas as pd
diff --git a/examples/python/tsa_arma_0.py b/examples/python/tsa_arma_0.py
@@ -9,7 +9,6 @@
 
 # # Autoregressive Moving Average (ARMA): Sunspots data
 
-from __future__ import print_function
 import numpy as np
 from scipy import stats
 import pandas as pd
diff --git a/examples/python/tsa_arma_1.py b/examples/python/tsa_arma_1.py
@@ -9,7 +9,6 @@
 
 # # Autoregressive Moving Average (ARMA): Artificial data
 
-from __future__ import print_function
 import numpy as np
 import statsmodels.api as sm
 import pandas as pd
diff --git a/examples/python/tsa_dates.py b/examples/python/tsa_dates.py
@@ -9,7 +9,6 @@
 
 # # Dates in timeseries models
 
-from __future__ import print_function
 import statsmodels.api as sm
 import numpy as np
 import pandas as pd
diff --git a/examples/python/tsa_filters.py b/examples/python/tsa_filters.py
@@ -9,7 +9,6 @@
 
 # # Time Series Filters
 
-from __future__ import print_function
 import pandas as pd
 import matplotlib.pyplot as plt
 
diff --git a/examples/python/wls.py b/examples/python/wls.py
@@ -9,7 +9,6 @@
 
 # # Weighted Least Squares
 
-from __future__ import print_function
 import numpy as np
 from scipy import stats
 import statsmodels.api as sm
diff --git a/examples/run_all.py b/examples/run_all.py
diff --git a/statsmodels/examples/ex_outliers_influence.py b/statsmodels/examples/ex_outliers_influence.py
diff --git a/statsmodels/examples/example_discrete_mnl.py b/statsmodels/examples/example_discrete_mnl.py
diff --git a/statsmodels/genmod/tests/test_glm_weights.py b/statsmodels/genmod/tests/test_glm_weights.py
diff --git a/statsmodels/tsa/stattools.py b/statsmodels/tsa/stattools.py
diff --git a/tools/backport_pr.py b/tools/backport_pr.py
diff --git a/tools/gh_api.py b/tools/gh_api.py
diff --git a/tools/github_stats.py b/tools/github_stats.py
diff --git a/tools/hash_funcs.py b/tools/hash_funcs.py

Original file line number	Diff line number	Diff line change
`@@ -1,4 +1,3 @@`
`1`		`-from __future__ import print_function`
`2`	`1`	`from statsmodels.datasets.macrodata import load_pandas`
`3`	`2`	`from statsmodels.tsa.base.datetools import dates_from_range`
`4`	`3`	`from statsmodels.tsa.arima_model import ARIMA`
Original file line number	Diff line number	Diff line change
`@@ -15,7 +15,6 @@`
`15`	`15`	`},`
`16`	`16`	`"outputs": [],`
`17`	`17`	`"source": [`
`18`		`- "from __future__ import print_function\n",`
`19`	`18`	`"import numpy as np\n",`
`20`	`19`	`"import statsmodels.api as sm"`
`21`	`20`	`]`
Original file line number	Diff line number	Diff line change
`@@ -26,7 +26,6 @@`
`26`	`26`	`},`
`27`	`27`	`"outputs": [],`
`28`	`28`	`"source": [`
`29`		`- "from __future__ import print_function\n",`
`30`	`29`	`"import numpy as np # noqa:F401 needed in namespace for patsy\n",`
`31`	`30`	`"import statsmodels.api as sm"`
`32`	`31`	`]`