Prototype for floating images / div in slides (tested with pandas)

DavidLeoni/jupman#148
DavidLeoni · Aug 10, 2023 · 41227c2 · 41227c2
1 parent b2ea120
commit 41227c2
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diff --git a/_static/css/softpython-slides.css b/_static/css/softpython-slides.css
@@ -186,6 +186,19 @@ div.jp-Cell-inputWrapper:has(.jp-InputArea-editor pre:only-child span:only-child
   display:none !important;
 }
 
+/*  attempt for https://github.com/DavidLeoni/jupman/issues/148      
+*/
+.jupman-floating {
+
+    border-radius: 12px;
+    border: 0;
+
+    padding: 1.3em;
+
+    box-shadow: 2px 2px 2px 3px #3335;
+}
+
+
 /* ***************   TABLES START  ****************** */
 
 .reveal table {
@@ -536,3 +549,5 @@ div.jp-Cell-inputWrapper:has(.jp-InputArea-editor pre:only-child span:only-child
   /* min-width:100%; */
 }
 /************   ICP END */
+
+
diff --git a/make_slides.py b/make_slides.py
@@ -156,6 +156,8 @@
 
     #ps = ps.replace('</head>',  manual_reveal + '\n</head>')
     ps = ps.replace('</head>',  jupman + icp + ssds + '\n</head>')
+    # useful for weird floating placements you don't want to show in jupyter but only in slides
+    ps = ps.replace('data-jupman-style', 'style')  
     ps = ps.replace("Reveal.addEventListener('slidechanged', update);",
     """
     Reveal.addEventListener('slidechanged', update);

diff --git a/pandas/img/astropi-humidity-histogram.png b/pandas/img/astropi-humidity-histogram.png
diff --git a/pandas/img/italy-population.png b/pandas/img/italy-population.png
diff --git a/pandas/pandas1-sol.ipynb → pandas/pandas1-intro-sol.ipynb b/pandas/pandas1-sol.ipynb → pandas/pandas1-intro-sol.ipynb
@@ -3767,7 +3767,7 @@
     {
      "data": {
       "text/plain": [
-       "<pandas.core.strings.accessor.StringMethods at 0x7f817e58cfd0>"
+       "<pandas.core.strings.accessor.StringMethods at 0x7f321e97c710>"
       ]
      },
      "execution_count": 29,
@@ -4420,7 +4420,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6373cc3e",
+   "id": "936e08b4",
    "metadata": {},
    "source": [
     "Selezioniamo per vedere il risultato:"
@@ -4810,7 +4810,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fa8db398",
+   "id": "e511b626",
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -4933,7 +4933,7 @@
   {
    "cell_type": "code",
    "execution_count": 45,
-   "id": "414a7a61",
+   "id": "2127964f",
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -4968,7 +4968,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6ca7d541",
+   "id": "427a08d8",
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -5005,7 +5005,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "19a56bad",
+   "id": "05089695",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5020,7 +5020,7 @@
   {
    "cell_type": "code",
    "execution_count": 47,
-   "id": "fce8228d",
+   "id": "276148f7",
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5055,7 +5055,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f12716cd",
+   "id": "eb885def",
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -5069,7 +5069,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "03404bf9",
+   "id": "24b21638",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5084,7 +5084,7 @@
   {
    "cell_type": "code",
    "execution_count": 48,
-   "id": "2ed631e2",
+   "id": "932a33a5",
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5122,7 +5122,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0e34fb26",
+   "id": "46ef2021",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5137,7 +5137,7 @@
   {
    "cell_type": "code",
    "execution_count": 49,
-   "id": "6edf5214",
+   "id": "9bee43aa",
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5172,7 +5172,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "73a90293",
+   "id": "93cc60ae",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5185,7 +5185,7 @@
   {
    "cell_type": "code",
    "execution_count": 50,
-   "id": "a064ca0a",
+   "id": "2e0f92c8",
    "metadata": {},
    "outputs": [
     {
@@ -5216,7 +5216,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "654f3a5a",
+   "id": "2842b9eb",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5229,7 +5229,7 @@
   {
    "cell_type": "code",
    "execution_count": 51,
-   "id": "bf2dc1ef",
+   "id": "0418169f",
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5243,7 +5243,7 @@
   {
    "cell_type": "code",
    "execution_count": 52,
-   "id": "83536858",
+   "id": "2662ab2a",
    "metadata": {},
    "outputs": [
     {
@@ -5370,6 +5370,16 @@
     "df[ ['time_stamp', 'humidity_int', 'humidity' ]  ]"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "e738e3f1",
+   "metadata": {},
+   "source": [
+    "## Altri esercizi\n",
+    "\n",
+    "###  [Vedere SoftPython](https://it.softpython.org/pandas/pandas1-intro-sol.html#7.-Altri-esercizi)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 53,

diff --git a/pandas/pandas1.ipynb → pandas/pandas1-intro.ipynb b/pandas/pandas1.ipynb → pandas/pandas1-intro.ipynb
@@ -3762,7 +3762,7 @@
     {
      "data": {
       "text/plain": [
-       "<pandas.core.strings.accessor.StringMethods at 0x7f817e58cfd0>"
+       "<pandas.core.strings.accessor.StringMethods at 0x7f321e97c710>"
       ]
      },
      "execution_count": 29,
@@ -4415,7 +4415,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6373cc3e",
+   "id": "936e08b4",
    "metadata": {},
    "source": [
     "Selezioniamo per vedere il risultato:"
@@ -4805,7 +4805,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fa8db398",
+   "id": "e511b626",
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -4928,7 +4928,7 @@
   {
    "cell_type": "code",
    "execution_count": 45,
-   "id": "414a7a61",
+   "id": "2127964f",
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -4963,7 +4963,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6ca7d541",
+   "id": "427a08d8",
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -5000,7 +5000,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "19a56bad",
+   "id": "05089695",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5015,7 +5015,7 @@
   {
    "cell_type": "code",
    "execution_count": 47,
-   "id": "fce8228d",
+   "id": "276148f7",
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5050,7 +5050,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f12716cd",
+   "id": "eb885def",
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
@@ -5064,7 +5064,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "03404bf9",
+   "id": "24b21638",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5079,7 +5079,7 @@
   {
    "cell_type": "code",
    "execution_count": 48,
-   "id": "2ed631e2",
+   "id": "932a33a5",
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5117,7 +5117,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0e34fb26",
+   "id": "46ef2021",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5132,7 +5132,7 @@
   {
    "cell_type": "code",
    "execution_count": 49,
-   "id": "6edf5214",
+   "id": "9bee43aa",
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5167,7 +5167,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "73a90293",
+   "id": "93cc60ae",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5180,7 +5180,7 @@
   {
    "cell_type": "code",
    "execution_count": 50,
-   "id": "a064ca0a",
+   "id": "2e0f92c8",
    "metadata": {},
    "outputs": [
     {
@@ -5211,7 +5211,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "654f3a5a",
+   "id": "2842b9eb",
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -5224,7 +5224,7 @@
   {
    "cell_type": "code",
    "execution_count": 51,
-   "id": "bf2dc1ef",
+   "id": "0418169f",
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -5238,7 +5238,7 @@
   {
    "cell_type": "code",
    "execution_count": 52,
-   "id": "83536858",
+   "id": "2662ab2a",
    "metadata": {},
    "outputs": [
     {
@@ -5365,6 +5365,16 @@
     "df[ ['time_stamp', 'humidity_int', 'humidity' ]  ]"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "e738e3f1",
+   "metadata": {},
+   "source": [
+    "## Altri esercizi\n",
+    "\n",
+    "###  [Vedere SoftPython](https://it.softpython.org/pandas/pandas1-intro-sol.html#7.-Altri-esercizi)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 53,