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Sort imports in another 9 notebooks #4074

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Sep 4, 2020
Merged

Sort imports in another 9 notebooks #4074

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b1bf293
another 10 notebooks
MarcoGorelli Sep 3, 2020
83ebe1f
10th notebook
MarcoGorelli Sep 3, 2020
5cd942a
put magic at bottom of cell
MarcoGorelli Sep 3, 2020
3621d68
separate first-party imports
MarcoGorelli Sep 4, 2020
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4 changes: 1 addition & 3 deletions docs/source/notebooks/GLM-robust.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -40,11 +40,9 @@
"source": [
"%matplotlib inline\n",
"\n",
"import pymc3 as pm\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"\n",
"import pymc3 as pm\n",
"import theano"
]
},
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12 changes: 6 additions & 6 deletions docs/source/notebooks/GP-MeansAndCovs.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -11,16 +11,16 @@
},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import matplotlib.cm as cmap\n",
"%matplotlib inline\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"np.random.seed(206)\n",
"\n",
"import pymc3 as pm\n",
"import theano\n",
"import theano.tensor as tt\n",
"import pymc3 as pm"
"\n",
"%matplotlib inline\n",
"\n",
"np.random.seed(206)"
]
},
{
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3 changes: 2 additions & 1 deletion docs/source/notebooks/bayes_param_survival_pymc3.ipynb
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Expand Up @@ -30,7 +30,8 @@
"from matplotlib import pyplot as plt\n",
"from matplotlib.ticker import StrMethodFormatter\n",
"from statsmodels import datasets\n",
"from theano import shared, tensor as tt\n",
"from theano import shared\n",
"from theano import tensor as tt\n",
"\n",
"print('Running on PyMC3 v{}'.format(pm.__version__))"
]
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9 changes: 5 additions & 4 deletions docs/source/notebooks/dependent_density_regression.ipynb
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Expand Up @@ -39,8 +39,10 @@
"import seaborn as sns\n",
"\n",
"from IPython.display import HTML\n",
"from matplotlib import animation as ani, pyplot as plt\n",
"from theano import shared, tensor as tt\n",
"from matplotlib import animation as ani\n",
"from matplotlib import pyplot as plt\n",
"from theano import shared\n",
"from theano import tensor as tt\n",
"\n",
"print('Running on PyMC3 v{}'.format(pm.__version__))"
]
Expand Down Expand Up @@ -1109,8 +1111,7 @@
"\n",
"with model:\n",
" step = pm.Metropolis()\n",
" trace = pm.sample(SAMPLES, step, chains=1, tune=BURN, random_seed=SEED)\n",
" "
" trace = pm.sample(SAMPLES, step, chains=1, tune=BURN, random_seed=SEED)"
]
},
{
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2 changes: 1 addition & 1 deletion docs/source/notebooks/dp_mix.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -82,8 +82,8 @@
"import numpy as np\n",
"import pandas as pd\n",
"import pymc3 as pm\n",
"import seaborn as sns\n",
"import scipy as sp\n",
"import seaborn as sns\n",
"\n",
"from matplotlib import pyplot as plt\n",
"from theano import tensor as tt\n",
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5 changes: 3 additions & 2 deletions docs/source/notebooks/factor_analysis.ipynb
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Expand Up @@ -14,17 +14,18 @@
}
],
"source": [
"import warnings\n",
"\n",
"import arviz as az\n",
"import matplotlib\n",
"import numpy as np\n",
"import pymc3 as pm\n",
"import seaborn as sbn\n",
"import scipy as sp\n",
"import scipy.sparse\n",
"import scipy.sparse.linalg\n",
"import seaborn as sbn\n",
"import theano as T\n",
"import theano.tensor as tt\n",
"import warnings\n",
"\n",
"from matplotlib import pyplot as plt\n",
"\n",
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4 changes: 3 additions & 1 deletion docs/source/notebooks/getting_started.ipynb
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Expand Up @@ -875,6 +875,7 @@
],
"source": [
"import warnings\n",
"\n",
"with warnings.catch_warnings():\n",
" warnings.filterwarnings('ignore', category=UserWarning)\n",
" returns.plot(figsize=(10, 6))\n",
Expand Down Expand Up @@ -3407,7 +3408,7 @@
" labels = [label.get_text() for label in ax.get_xticklabels()]\n",
" ax.set_xticklabels(labels, rotation=45, ha='right')\n",
" break\n",
"plt.draw() "
"plt.draw()"
]
},
{
Expand Down Expand Up @@ -3491,6 +3492,7 @@
"outputs": [],
"source": [
"import theano.tensor as tt\n",
"\n",
"from theano.compile.ops import as_op\n",
"\n",
"\n",
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3 changes: 2 additions & 1 deletion docs/source/notebooks/multilevel_modeling.ipynb
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Expand Up @@ -64,13 +64,14 @@
}
],
"source": [
"import warnings\n",
"\n",
"import arviz as az\n",
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"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"import pymc3 as pm\n",
"import xarray as xr\n",
"import warnings\n",
"\n",
"from theano import tensor as tt\n",
"\n",
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11 changes: 6 additions & 5 deletions docs/source/notebooks/probabilistic_matrix_factorization.ipynb
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Expand Up @@ -22,9 +22,10 @@
],
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"source": [
"%matplotlib inline\n",
"import pymc3 as pm\n",
"import numpy as np\n",
"import pandas as pd\n",
"import pymc3 as pm\n",
"\n",
"from matplotlib import pyplot as plt\n",
"\n",
"plt.style.use('seaborn-darkgrid')\n",
Expand Down Expand Up @@ -767,11 +768,11 @@
"metadata": {},
"outputs": [],
"source": [
"import time\n",
"import logging\n",
"import theano\n",
"import scipy as sp\n",
"import time\n",
"\n",
"import scipy as sp\n",
"import theano\n",
"\n",
"# Enable on-the-fly graph computations, but ignore\n",
"# absence of intermediate test values.\n",
Expand Down Expand Up @@ -1056,7 +1057,7 @@
" Method = baseline_methods[name]\n",
" method = Method(train)\n",
" baselines[name] = method.rmse(test)\n",
" print('%s RMSE:\\t%.5f' % (method, baselines[name]))\n"
" print('%s RMSE:\\t%.5f' % (method, baselines[name]))"
]
},
{
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