From baf4f0c7005da3386b8f497c48022bb93484c8fe Mon Sep 17 00:00:00 2001
From: Pieter van der Hijden <pvdh@sofos.nl>
Date: Tue, 18 May 2021 15:14:43 +0200
Subject: [PATCH] Jupyter Notebook sdg-profiles-statistics updated
---
.../sdg-profiles-statistics.ipynb | 111 ++++++++++++------
1 file changed, 77 insertions(+), 34 deletions(-)
diff --git a/aggregated-results/sdg-profiles-statistics.ipynb b/aggregated-results/sdg-profiles-statistics.ipynb
index 118bfe7..03a6842 100644
--- a/aggregated-results/sdg-profiles-statistics.ipynb
+++ b/aggregated-results/sdg-profiles-statistics.ipynb
@@ -90,7 +90,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -112,7 +112,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
@@ -121,7 +121,7 @@
"(244, 29)"
]
},
- "execution_count": 30,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -166,28 +166,47 @@
},
{
"cell_type": "code",
- "execution_count": 38,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
- "ename": "KeyError",
- "evalue": "'Enter your SDG profile by ticking 2-4 SDGs'",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 3079\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3080\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3081\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
- "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
- "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
- "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
- "\u001b[0;31mKeyError\u001b[0m: 'Enter your SDG profile by ticking 2-4 SDGs'",
- "\nThe above exception was the direct cause of the following exception:\n",
- "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m<ipython-input-38-c721ca6096fb>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# Clean dataframe 'profiles'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;31m# Delete verbose and superfluous columns 6-7\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;32mdel\u001b[0m \u001b[0mprofiles\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Enter your SDG profile by ticking 2-4 SDGs'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0;32mdel\u001b[0m \u001b[0mprofiles\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'One more thing!'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m__delitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3964\u001b[0m \u001b[0;31m# there was no match, this call should raise the appropriate\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3965\u001b[0m \u001b[0;31m# exception:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3966\u001b[0;31m \u001b[0mloc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3967\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0midelete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3968\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 3080\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3081\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3082\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3083\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3084\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtolerance\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;31mKeyError\u001b[0m: 'Enter your SDG profile by ticking 2-4 SDGs'"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "<class 'pandas.core.frame.DataFrame'>\n",
+ "RangeIndex: 244 entries, 0 to 243\n",
+ "Data columns (total 27 columns):\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 slug 231 non-null object\n",
+ " 1 Tijdstempel 238 non-null object\n",
+ " 2 E-mailadres 238 non-null object\n",
+ " 3 Your fullname 238 non-null object\n",
+ " 4 The name of your fab lab 238 non-null object\n",
+ " 5 Country of your fab lab 237 non-null object\n",
+ " 6 URL of your fab lab page on www.fablabs.io 238 non-null object\n",
+ " 7 SDG 1 9 non-null object\n",
+ " 8 SDG 2 13 non-null object\n",
+ " 9 SDG 3 26 non-null object\n",
+ " 10 SDG 4 190 non-null object\n",
+ " 11 SDG 5 75 non-null object\n",
+ " 12 SDG 6 14 non-null object\n",
+ " 13 SDG 7 33 non-null object\n",
+ " 14 SDG 8 68 non-null object\n",
+ " 15 SDG 9 156 non-null object\n",
+ " 16 SDG 10 24 non-null object\n",
+ " 17 SDG 11 82 non-null object\n",
+ " 18 SDG 12 102 non-null object\n",
+ " 19 SDG 13 24 non-null object\n",
+ " 20 SDG 14 7 non-null object\n",
+ " 21 SDG 15 18 non-null object\n",
+ " 22 SDG 16 2 non-null object\n",
+ " 23 SDG 17 42 non-null object\n",
+ " 24 summary 244 non-null object\n",
+ " 25 status 244 non-null object\n",
+ " 26 check 221 non-null object\n",
+ "dtypes: object(27)\n",
+ "memory usage: 25.8+ KB\n"
]
}
],
@@ -202,7 +221,7 @@
},
{
"cell_type": "code",
- "execution_count": 39,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
@@ -267,18 +286,43 @@
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
- "data": {
- "text/plain": [
- "92"
- ]
- },
- "execution_count": 33,
- "metadata": {},
- "output_type": "execute_result"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "<class 'pandas.core.frame.DataFrame'>\n",
+ "Index: 2015 entries, ping to ZapLab\n",
+ "Data columns (total 22 columns):\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 id 2015 non-null int64 \n",
+ " 1 name 2015 non-null object \n",
+ " 2 kind_name 2015 non-null object \n",
+ " 3 parent_id 687 non-null float64\n",
+ " 4 blurb 1968 non-null object \n",
+ " 5 description 1986 non-null object \n",
+ " 6 avatar_url 1655 non-null object \n",
+ " 7 header_url 1322 non-null object \n",
+ " 8 address_1 1987 non-null object \n",
+ " 9 address_2 1985 non-null object \n",
+ " 10 city 2015 non-null object \n",
+ " 11 county 2015 non-null object \n",
+ " 12 postal_code 2013 non-null object \n",
+ " 13 country_code 2015 non-null object \n",
+ " 14 latitude 1838 non-null float64\n",
+ " 15 longitude 1838 non-null float64\n",
+ " 16 address_notes 1986 non-null object \n",
+ " 17 phone 1986 non-null object \n",
+ " 18 email 1986 non-null object \n",
+ " 19 capabilities 2015 non-null object \n",
+ " 20 activity_status 1431 non-null object \n",
+ " 21 links 2015 non-null object \n",
+ "dtypes: float64(3), int64(1), object(18)\n",
+ "memory usage: 212.5+ KB\n"
+ ]
}
],
"source": [
@@ -319,7 +363,7 @@
},
{
"cell_type": "code",
- "execution_count": 40,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
@@ -386,7 +430,6 @@
}
],
"source": [
- "#air_quality = pd.merge(air_quality, stations_coord, how=\"left\", on=\"location\")\n",
"profiles = pd.merge(profiles, fablabs, how=\"left\", on=\"slug\")\n",
"profiles.info()"
]
--
GitLab