diff --git a/notebooks/create_htmls.ipynb b/notebooks/create_htmls.ipynb
index a6a89d2..37910cf 100644
--- a/notebooks/create_htmls.ipynb
+++ b/notebooks/create_htmls.ipynb
@@ -17,7 +17,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -34,7 +34,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -63,7 +63,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -98,7 +98,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -115,7 +115,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -148,7 +148,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -190,7 +190,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -216,7 +216,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -238,7 +238,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -252,7 +252,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -290,7 +290,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -317,7 +317,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -331,11 +331,12 @@
"info_json_df[\"full_name\"] = info_json_df.apply(\n",
" lambda row: (\n",
" row[\"nick_name\"] + \" \" + row[\"last_name\"]\n",
- " if pd.notna(row[\"nick_name\"])\n",
+ " if \"nick_name\" in row and pd.notna(row[\"nick_name\"])\n",
" else row[\"first_name\"] + \" \" + row[\"last_name\"]\n",
" ),\n",
" axis=1,\n",
")\n",
+ "\n",
"info_json_dict = info_json_df.to_dict(\"index\")"
]
},
@@ -348,7 +349,7 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -375,7 +376,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -403,7 +404,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -416,7 +417,7 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -438,7 +439,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -454,7 +455,7 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -470,7 +471,7 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -493,7 +494,7 @@
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -518,7 +519,7 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -541,7 +542,7 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -570,7 +571,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -600,7 +601,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -614,7 +615,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -623,7 +624,7 @@
},
{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -635,7 +636,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -657,7 +658,7 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -668,7 +669,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -687,7 +688,7 @@
},
{
"cell_type": "code",
- "execution_count": 31,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -709,7 +710,7 @@
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -719,7 +720,7 @@
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -735,14 +736,12 @@
" (alumni_filtered_exp_df[\"institution\"] == INSTITUTION_FILTER)\n",
" | (alumni_filtered_exp_df[\"group\"].isin(GROUP_FILTER))\n",
"]\n",
- "req_exp_df_most_recent = (\n",
- " req_exp_df.groupby(\"id\").apply(most_recent_row_end_date).droplevel(0)\n",
- ")"
+ "req_exp_df_most_recent = req_exp_df.groupby(\"id\").apply(most_recent_row_end_date)\n"
]
},
{
"cell_type": "code",
- "execution_count": 34,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -754,7 +753,7 @@
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -767,7 +766,7 @@
},
{
"cell_type": "code",
- "execution_count": 36,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -790,7 +789,7 @@
},
{
"cell_type": "code",
- "execution_count": 37,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -812,7 +811,7 @@
},
{
"cell_type": "code",
- "execution_count": 38,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -827,7 +826,7 @@
},
{
"cell_type": "code",
- "execution_count": 39,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -836,7 +835,7 @@
},
{
"cell_type": "code",
- "execution_count": 40,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -847,7 +846,7 @@
},
{
"cell_type": "code",
- "execution_count": 41,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -861,7 +860,7 @@
},
{
"cell_type": "code",
- "execution_count": 42,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -884,7 +883,7 @@
},
{
"cell_type": "code",
- "execution_count": 43,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -906,13 +905,6 @@
" content=article_content_df.to_dict(\"index\"),\n",
" )"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
@@ -931,7 +923,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.10.12"
+ "version": "3.8.2"
},
"orig_nbformat": 4
},
diff --git a/templates/news.html.j2 b/templates/news.html.j2
index 18e7405..4e18d5b 100644
--- a/templates/news.html.j2
+++ b/templates/news.html.j2
@@ -213,7 +213,7 @@
try {
data = context.getImageData(0, 0, width, height);
} catch(e) {
- /* security error, img on diff domain */alert('x');
+
return defaultRGB;
}