diff --git a/Ejemplo_nacimientos_2005_2010/Demo_CDS_nacimientos.ipynb b/Ejemplo_nacimientos_2005_2010/Demo_CDS_nacimientos.ipynb
index c1a696c06f161d61de8c53951ba94785c1430cea..0c55c795f575af3af6aaf128301a789a7bc8509e 100644
--- a/Ejemplo_nacimientos_2005_2010/Demo_CDS_nacimientos.ipynb
+++ b/Ejemplo_nacimientos_2005_2010/Demo_CDS_nacimientos.ipynb
@@ -49,7 +49,7 @@
"\n",
"\n",
"\n",
- "Nosotros la vamos a usar para obtener ciertas columnas y no vamos a cortar filas.\n",
+ "Nosotros la vamos a usar para obtener ciertas columnas y no vamos a cortar filas, para esto se dejan los lugares al lado de los dos puntos vacÃos.\n",
"\n",
"#groupby\n",
"\n",
@@ -83,7 +83,7 @@
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{
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- "execution_count": 1,
+ "execution_count": null,
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@@ -110,7 +110,7 @@
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"id": "oanfaLLOvlVG"
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@@ -133,9 +133,9 @@
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],
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@@ -926,7 +926,7 @@
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@@ -1112,7 +1112,7 @@
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],
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{
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@@ -1993,7 +1993,7 @@
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"text/html": [
"\n",
- " <div id=\"df-ba440466-a30c-4cad-af18-52e08d309203\">\n",
+ " <div id=\"df-f3bf9808-69b0-42d6-8ec8-7f23ed41b02c\">\n",
" <div class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
@@ -2052,7 +2052,7 @@
" </tbody>\n",
"</table>\n",
"</div>\n",
- " <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ba440466-a30c-4cad-af18-52e08d309203')\"\n",
+ " <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f3bf9808-69b0-42d6-8ec8-7f23ed41b02c')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
" \n",
@@ -2103,12 +2103,12 @@
"\n",
" <script>\n",
" const buttonEl =\n",
- " document.querySelector('#df-ba440466-a30c-4cad-af18-52e08d309203 button.colab-df-convert');\n",
+ " document.querySelector('#df-f3bf9808-69b0-42d6-8ec8-7f23ed41b02c button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
- " const element = document.querySelector('#df-ba440466-a30c-4cad-af18-52e08d309203');\n",
+ " const element = document.querySelector('#df-f3bf9808-69b0-42d6-8ec8-7f23ed41b02c');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
@@ -2156,9 +2156,9 @@
"height": 238
},
"id": "0oQCwFn2TSd5",
- "outputId": "66d8920f-2e9d-48f1-d6b8-abfa7d0de2a2"
+ "outputId": "8ade4190-9f50-4ef9-8d2c-50776ae80bcf"
},
- "execution_count": 21,
+ "execution_count": null,
"outputs": [
{
"output_type": "execute_result",
@@ -2174,7 +2174,7 @@
],
"text/html": [
"\n",
- " <div id=\"df-beae7ea2-8b01-42de-9372-475013eeb418\">\n",
+ " <div id=\"df-26b14687-8de9-4394-864e-6d07365b3aab\">\n",
" <div class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
@@ -2228,7 +2228,7 @@
" </tbody>\n",
"</table>\n",
"</div>\n",
- " <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-beae7ea2-8b01-42de-9372-475013eeb418')\"\n",
+ " <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-26b14687-8de9-4394-864e-6d07365b3aab')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
" \n",
@@ -2279,12 +2279,12 @@
"\n",
" <script>\n",
" const buttonEl =\n",
- " document.querySelector('#df-beae7ea2-8b01-42de-9372-475013eeb418 button.colab-df-convert');\n",
+ " document.querySelector('#df-26b14687-8de9-4394-864e-6d07365b3aab button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
- " const element = document.querySelector('#df-beae7ea2-8b01-42de-9372-475013eeb418');\n",
+ " const element = document.querySelector('#df-26b14687-8de9-4394-864e-6d07365b3aab');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
@@ -2332,9 +2332,9 @@
"height": 269
},
"id": "hHta7iM9T0B2",
- "outputId": "4800091b-82d7-4679-c223-1858cf69cdaa"
+ "outputId": "4017426a-ab33-47e4-ad10-d70045e890d6"
},
- "execution_count": 22,
+ "execution_count": null,
"outputs": [
{
"output_type": "execute_result",
@@ -2360,7 +2360,7 @@
],
"text/html": [
"\n",
- " <div id=\"df-1dd72794-d713-4ffd-83fa-201567dcf36b\">\n",
+ " <div id=\"df-6ff622db-99e1-46aa-a35a-416ebcc0b585\">\n",
" <div class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
@@ -2468,7 +2468,7 @@
" </tbody>\n",
"</table>\n",
"</div>\n",
- " <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1dd72794-d713-4ffd-83fa-201567dcf36b')\"\n",
+ " <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6ff622db-99e1-46aa-a35a-416ebcc0b585')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
" \n",
@@ -2519,12 +2519,12 @@
"\n",
" <script>\n",
" const buttonEl =\n",
- " document.querySelector('#df-1dd72794-d713-4ffd-83fa-201567dcf36b button.colab-df-convert');\n",
+ " document.querySelector('#df-6ff622db-99e1-46aa-a35a-416ebcc0b585 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
- " const element = document.querySelector('#df-1dd72794-d713-4ffd-83fa-201567dcf36b');\n",
+ " const element = document.querySelector('#df-6ff622db-99e1-46aa-a35a-416ebcc0b585');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
@@ -2570,17 +2570,17 @@
"id": "bf6v9x7gAwku",
"colab": {
"base_uri": "https://localhost:8080/",
- "height": 725
+ "height": 946
},
- "outputId": "aa1e3e8d-a00d-4745-f892-892e42bedc49"
+ "outputId": "7f8bec90-7f0c-462d-877f-42317d86ee19"
},
- "execution_count": 23,
+ "execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
- "<matplotlib.legend.Legend at 0x7f4108425fd0>"
+ "<matplotlib.legend.Legend at 0x7fb576ec7650>"
]
},
"metadata": {},