Hide notebook bookkeeping from doc build

mwaskom · Jun 22, 2018 · 15eec7e · 15eec7e
1 parent 7c7af02
commit 15eec7e
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Showing 8 changed files with 90 additions and 77 deletions.
diff --git a/doc/tutorial/aesthetics.ipynb b/doc/tutorial/aesthetics.ipynb
@@ -31,19 +31,22 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib inline"
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide"
+    ]
+   },
    "outputs": [],
    "source": [
-    "import numpy as np\n",
-    "import matplotlib as mpl\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
+    "%matplotlib inline\n",
     "np.random.seed(sum(map(ord, \"aesthetics\")))"
    ]
   },
@@ -246,10 +249,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "f = plt.figure()\n",
     "with sns.axes_style(\"darkgrid\"):\n",
-    "    plt.subplot(211)\n",
+    "    ax = f.add_subplot(1, 2, 1)\n",
     "    sinplot()\n",
-    "plt.subplot(212)\n",
+    "ax = f.add_subplot(1, 2, 2)\n",
     "sinplot(-1)"
    ]
   },
@@ -383,6 +387,7 @@
   }
  ],
  "metadata": {
+  "celltoolbar": "Tags",
   "kernelspec": {
    "display_name": "Python 3.6  (seaborn-dev)",
    "language": "python",

diff --git a/doc/tutorial/axis_grids.ipynb b/doc/tutorial/axis_grids.ipynb
@@ -13,7 +13,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Plotting on data-aware grids"
+    "# Building multi-plot grids"
    ]
   },
   {
@@ -33,7 +33,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib inline"
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt"
    ]
   },
   {
@@ -42,21 +43,21 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import seaborn as sns\n",
-    "from scipy import stats\n",
-    "import matplotlib as mpl\n",
-    "import matplotlib.pyplot as plt"
+    "sns.set(style=\"ticks\")"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide"
+    ]
+   },
    "outputs": [],
    "source": [
-    "sns.set(style=\"ticks\")\n",
+    "%matplotlib inline\n",
+    "import numpy as np\n",
     "np.random.seed(sum(map(ord, \"axis_grids\")))"
    ]
   },
@@ -326,6 +327,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "from scipy import stats\n",
     "def quantile_plot(x, **kwargs):\n",
     "    qntls, xr = stats.probplot(x, fit=False)\n",
     "    plt.scatter(xr, qntls, **kwargs)\n",
@@ -592,6 +594,7 @@
   }
  ],
  "metadata": {
+  "celltoolbar": "Tags",
   "kernelspec": {
    "display_name": "Python 3.6  (seaborn-dev)",
    "language": "python",

diff --git a/doc/tutorial/basic.ipynb b/doc/tutorial/basic.ipynb
@@ -28,9 +28,7 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "%matplotlib inline"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
@@ -40,21 +38,33 @@
    "source": [
     "import numpy as np\n",
     "import pandas as pd\n",
-    "import matplotlib as mpl\n",
-    "import matplotlib.pyplot as plt"
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide"
+    ]
+   },
    "outputs": [],
    "source": [
-    "import seaborn as sns\n",
-    "sns.set(style=\"darkgrid\", color_codes=True)\n",
+    "%matplotlib inline\n",
     "np.random.seed(sum(map(ord, \"basic\")))"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sns.set(style=\"darkgrid\", color_codes=True)"
+   ]
+  },
   {
    "cell_type": "raw",
    "metadata": {},
@@ -443,6 +453,7 @@
   }
  ],
  "metadata": {
+  "celltoolbar": "Tags",
   "kernelspec": {
    "display_name": "Python 3.6  (seaborn-dev)",
    "language": "python",

diff --git a/doc/tutorial/categorical.ipynb b/doc/tutorial/categorical.ipynb
@@ -35,19 +35,23 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib inline"
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide"
+    ]
+   },
    "outputs": [],
    "source": [
+    "%matplotlib inline\n",
     "import numpy as np\n",
-    "import pandas as pd\n",
-    "import matplotlib as mpl\n",
-    "import matplotlib.pyplot as plt"
+    "np.random.seed(sum(map(ord, \"categorical\")))"
    ]
   },
   {
@@ -56,19 +60,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import seaborn as sns\n",
     "sns.set(style=\"whitegrid\", color_codes=True)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "np.random.seed(sum(map(ord, \"categorical\")))"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -551,6 +545,7 @@
   }
  ],
  "metadata": {
+  "celltoolbar": "Tags",
   "kernelspec": {
    "display_name": "Python 3.6  (seaborn-dev)",
    "language": "python",

diff --git a/doc/tutorial/color_palettes.ipynb b/doc/tutorial/color_palettes.ipynb
@@ -35,18 +35,23 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib inline"
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide"
+    ]
+   },
    "outputs": [],
    "source": [
-    "import numpy as np\n",
-    "import seaborn as sns\n",
-    "import matplotlib.pyplot as plt"
+    "%matplotlib inline\n",
+    "np.random.seed(sum(map(ord, \"palettes\")))"
    ]
   },
   {
@@ -55,8 +60,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "sns.set(rc={\"figure.figsize\": (6, 6)})\n",
-    "np.random.seed(sum(map(ord, \"palettes\")))"
+    "sns.set(rc={\"figure.figsize\": (6, 6)})"
    ]
   },
   {
@@ -684,6 +688,7 @@
   }
  ],
  "metadata": {
+  "celltoolbar": "Tags",
   "kernelspec": {
    "display_name": "Python 3.6  (seaborn-dev)",
    "language": "python",

diff --git a/doc/tutorial/distributions.ipynb b/doc/tutorial/distributions.ipynb
@@ -23,15 +23,6 @@
     "When dealing with a set of data, often the first thing you'll want to do is get a sense for how the variables are distributed. This chapter of the tutorial will give a brief introduction to some of the tools in seaborn for examining univariate and bivariate distributions. You may also want to look at the :ref:`categorical plots <categorical_tutorial>` chapter for examples of functions that make it easy to compare the distribution of a variable across levels of other variables."
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib inline"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -40,8 +31,9 @@
    "source": [
     "import numpy as np\n",
     "import pandas as pd\n",
-    "from scipy import stats, integrate\n",
-    "import matplotlib.pyplot as plt"
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "from scipy import stats"
    ]
   },
   {
@@ -50,16 +42,20 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import seaborn as sns\n",
     "sns.set(color_codes=True)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide"
+    ]
+   },
    "outputs": [],
    "source": [
+    "%matplotlib inline\n",
     "np.random.seed(sum(map(ord, \"distributions\")))"
    ]
   },
@@ -179,8 +175,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "from scipy.integrate import trapz\n",
     "density = np.sum(kernels, axis=0)\n",
-    "density /= integrate.trapz(density, support)\n",
+    "density /= trapz(density, support)\n",
     "plt.plot(support, density);"
    ]
   },
@@ -439,6 +436,7 @@
   }
  ],
  "metadata": {
+  "celltoolbar": "Tags",
   "kernelspec": {
    "display_name": "Python 3.6  (seaborn-dev)",
    "language": "python",