diff --git a/Book/Jupyter_Notebooks/.ipynb_checkpoints/Pandas-checkpoint.ipynb b/Book/Jupyter_Notebooks/.ipynb_checkpoints/Pandas-checkpoint.ipynb index d63a668705378d05902af35d7d9a7f998d5050a5..a90ec6ae8012508778fb6dc40d5e04d081eb70d5 100644 --- a/Book/Jupyter_Notebooks/.ipynb_checkpoints/Pandas-checkpoint.ipynb +++ b/Book/Jupyter_Notebooks/.ipynb_checkpoints/Pandas-checkpoint.ipynb @@ -47,6 +47,42 @@ "* Visualización de datos utilizando herramientas integradas o integrando con otras bibliotecas como Matplotlib y Seaborn.\n" ] }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "hide-input" + ] + }, + "outputs": [ + { + "data": { + "text/html": [ + "<iframe width=\"560\" height=\"315\" src=\"https://www.canva.com/design/DAFtE_0BP_c/view?embed\" title=\"Pandas Review\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen></iframe>" + ], + "text/plain": [ + "<IPython.core.display.HTML object>" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from IPython.display import HTML\n", + "import warnings\n", + "\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "HTML('<iframe width=\"560\" height=\"315\" src=\"https://www.canva.com/design/DAFtE_0BP_c/view?embed\" title=\"Pandas Review\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen></iframe>')" + ] + }, { "cell_type": "code", "execution_count": 1, @@ -1688,20 +1724,6 @@ "outputs": [], "source": [] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "code", "execution_count": null, diff --git a/Book/Jupyter_Notebooks/.ipynb_checkpoints/apiMakeSens-checkpoint.ipynb b/Book/Jupyter_Notebooks/.ipynb_checkpoints/apiMakeSens-checkpoint.ipynb index b67a3a57908ab6df028203fe27bb7b8511dd7858..139839ce386556e370b21d76d8201ecc9cc19dd9 100644 --- a/Book/Jupyter_Notebooks/.ipynb_checkpoints/apiMakeSens-checkpoint.ipynb +++ b/Book/Jupyter_Notebooks/.ipynb_checkpoints/apiMakeSens-checkpoint.ipynb @@ -503,10 +503,8 @@ ] }, { - "cell_type": "code", - "execution_count": 52, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ "Resumiendo:" ] @@ -514,12 +512,20 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "hide-input" + ] + }, "outputs": [ { "data": { "text/html": [ - "<iframe width=\"560\" height=\"315\" src=\"https://www.canva.com/design/DAFwVICi7qs/view?embed\" title=\"Pandas Review\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen></iframe>" + "<iframe width=\"660\" height=\"415\" src=\"https://www.canva.com/design/DAFwVICi7qs/view?embed\" title=\"Pandas Review\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen></iframe>" ], "text/plain": [ "<IPython.core.display.HTML object>" @@ -536,7 +542,7 @@ "\n", "warnings.filterwarnings('ignore')\n", "\n", - "HTML('<iframe width=\"560\" height=\"315\" src=\"https://www.canva.com/design/DAFwVICi7qs/view?embed\" title=\"Pandas Review\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen></iframe>')" + "HTML('<iframe width=\"660\" height=\"415\" src=\"https://www.canva.com/design/DAFwVICi7qs/view?embed\" title=\"Pandas Review\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen></iframe>')" ] }, { diff --git a/Book/Jupyter_Notebooks/Pandas.ipynb b/Book/Jupyter_Notebooks/Pandas.ipynb index 8f057e6b14afe857f59fc06137bc6888c4fbba3e..a90ec6ae8012508778fb6dc40d5e04d081eb70d5 100644 --- a/Book/Jupyter_Notebooks/Pandas.ipynb +++ b/Book/Jupyter_Notebooks/Pandas.ipynb @@ -50,7 +50,15 @@ { "cell_type": "code", "execution_count": 9, - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "hide-input" + ] + }, "outputs": [ { "data": { diff --git a/Book/Jupyter_Notebooks/apiMakeSens.ipynb b/Book/Jupyter_Notebooks/apiMakeSens.ipynb index b67a3a57908ab6df028203fe27bb7b8511dd7858..139839ce386556e370b21d76d8201ecc9cc19dd9 100644 --- a/Book/Jupyter_Notebooks/apiMakeSens.ipynb +++ b/Book/Jupyter_Notebooks/apiMakeSens.ipynb @@ -503,10 +503,8 @@ ] }, { - "cell_type": "code", - "execution_count": 52, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ "Resumiendo:" ] @@ -514,12 +512,20 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "hide-input" + ] + }, "outputs": [ { "data": { "text/html": [ - "<iframe width=\"560\" height=\"315\" src=\"https://www.canva.com/design/DAFwVICi7qs/view?embed\" title=\"Pandas Review\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen></iframe>" + "<iframe width=\"660\" height=\"415\" src=\"https://www.canva.com/design/DAFwVICi7qs/view?embed\" title=\"Pandas Review\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen></iframe>" ], "text/plain": [ "<IPython.core.display.HTML object>" @@ -536,7 +542,7 @@ "\n", "warnings.filterwarnings('ignore')\n", "\n", - "HTML('<iframe width=\"560\" height=\"315\" src=\"https://www.canva.com/design/DAFwVICi7qs/view?embed\" title=\"Pandas Review\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen></iframe>')" + "HTML('<iframe width=\"660\" height=\"415\" src=\"https://www.canva.com/design/DAFwVICi7qs/view?embed\" title=\"Pandas Review\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen></iframe>')" ] }, {