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Merged
jorisvandenbossche merged 3 commits into from
Dec 17, 2021
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2021 december edition - update materials #149

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2021 december edition - update materials
jorisvandenbossche Dec 17, 2021
55a9a92
undo changes environment.yml + images
jorisvandenbossche Dec 17, 2021
7f5b97a
remove output from visualization landscape notebook
jorisvandenbossche Dec 17, 2021
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415 changes: 65 additions & 350 deletions _solved/00-jupyter_introduction.ipynb
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229 changes: 100 additions & 129 deletions _solved/case1_bike_count.ipynb
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4,375 changes: 4,375 additions & 0 deletions _solved/case2_observations.ipynb
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978 changes: 878 additions & 100 deletions _solved/case2_observations_analysis.ipynb
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1,800 changes: 986 additions & 814 deletions _solved/case2_observations_processing.ipynb
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737 changes: 258 additions & 479 deletions _solved/case3_bacterial_resistance_lab_experiment.ipynb
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170 changes: 125 additions & 45 deletions _solved/case4_air_quality_analysis.ipynb
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115 changes: 73 additions & 42 deletions _solved/case4_air_quality_processing.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -6,9 +6,6 @@
"source": [
"<p><font size=\"6\"><b> CASE - air quality data of European monitoring stations (AirBase)</b></font></p>\n",
"\n",
"> *DS Data manipulation, analysis and visualization in Python* \n",
"> *May/June, 2021*\n",
">\n",
"> *© 2021, Joris Van den Bossche and Stijn Van Hoey (<mailto:jorisvandenbossche@gmail.com>, <mailto:stijnvanhoey@gmail.com>). Licensed under [CC BY 4.0 Creative Commons](http://creativecommons.org/licenses/by/4.0/)*\n",
"\n",
"---"
Expand Down Expand Up @@ -344,7 +341,9 @@
"cell_type": "code",
"execution_count": 6,
"metadata": {
"clear_cell": true
"tags": [
"nbtutor-solution"
]
},
"outputs": [],
"source": [
Expand All @@ -356,8 +355,10 @@
"cell_type": "code",
"execution_count": 7,
"metadata": {
"clear_cell": true,
"scrolled": true
"scrolled": true,
"tags": [
"nbtutor-solution"
]
},
"outputs": [
{
Expand Down Expand Up @@ -570,9 +571,11 @@
"source": [
"<div class=\"alert alert-success\">\n",
"\n",
"<b>EXERCISE</b>:\n",
"<br><br>\n",
"Drop all 'flag' columns ('flag1', 'flag2', ...)"
"**EXERCISE**:\n",
"\n",
"Drop all 'flag' columns ('flag1', 'flag2', ...)\n",
"\n",
"</div>"
]
},
{
Expand All @@ -589,8 +592,10 @@
"cell_type": "code",
"execution_count": 9,
"metadata": {
"clear_cell": true,
"scrolled": true
"scrolled": true,
"tags": [
"nbtutor-solution"
]
},
"outputs": [],
"source": [
Expand Down Expand Up @@ -912,7 +917,9 @@
"cell_type": "code",
"execution_count": 11,
"metadata": {
"clear_cell": true
"tags": [
"nbtutor-solution"
]
},
"outputs": [
{
Expand Down Expand Up @@ -1006,7 +1013,9 @@
"cell_type": "code",
"execution_count": 12,
"metadata": {
"clear_cell": true
"tags": [
"nbtutor-solution"
]
},
"outputs": [
{
Expand Down Expand Up @@ -1038,7 +1047,9 @@
"cell_type": "code",
"execution_count": 13,
"metadata": {
"clear_cell": true
"tags": [
"nbtutor-solution"
]
},
"outputs": [
{
Expand Down Expand Up @@ -1134,7 +1145,9 @@
"cell_type": "code",
"execution_count": 14,
"metadata": {
"clear_cell": true
"tags": [
"nbtutor-solution"
]
},
"outputs": [],
"source": [
Expand All @@ -1146,7 +1159,9 @@
"cell_type": "code",
"execution_count": 15,
"metadata": {
"clear_cell": true
"tags": [
"nbtutor-solution"
]
},
"outputs": [
{
Expand Down Expand Up @@ -1222,7 +1237,9 @@
"cell_type": "code",
"execution_count": 16,
"metadata": {
"clear_cell": true
"tags": [
"nbtutor-solution"
]
},
"outputs": [],
"source": [
Expand Down Expand Up @@ -1433,7 +1450,9 @@
"cell_type": "code",
"execution_count": 21,
"metadata": {
"clear_cell": true
"tags": [
"nbtutor-solution"
]
},
"outputs": [],
"source": [
Expand Down Expand Up @@ -1525,9 +1544,7 @@
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"clear_cell": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -1610,48 +1627,55 @@
"source": [
"<div class=\"alert alert-success\">\n",
"\n",
"<b>EXERCISE</b>:\n",
"**EXERCISE**:\n",
"\n",
" <ul>\n",
" <li>Use the <code>glob.glob</code> function to list all 4 AirBase data files that are included in the 'data' directory, and call the result <code>data_files</code>.</li>\n",
"</ul>\n",
"Use the [pathlib module](https://docs.python.org/3/library/pathlib.html) `Path` class in combination with the `glob` method to list all 4 AirBase data files that are included in the 'data' directory, and call the result `data_files`.\n",
"\n",
"<details><summary>Hints</summary>\n",
"\n",
"- The pathlib module provides a object oriented way to handle file paths. First, create a `Path` object of the data folder, `pathlib.Path(\"./data\")`. Next, apply the `glob` function to extract all the files containing `*0008001*` (use wildcard * to say \"any characters\"). The output is a Python generator, which you can collect as a `list()`.\n",
"\n",
"</details> \n",
"\n",
" \n",
"</div>"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"clear_cell": false
},
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"import glob"
"from pathlib import Path"
]
},
{
"cell_type": "code",
"execution_count": 27,
"execution_count": 10,
"metadata": {
"clear_cell": true
"tags": [
"nbtutor-solution"
]
},
"outputs": [
{
"data": {
"text/plain": [
"['data/FR040120000800100hour.1-1-1999.31-12-2012',\n",
" 'data/FR040370000800100hour.1-1-1999.31-12-2012',\n",
" 'data/BETN0290000800100hour.1-1-1990.31-12-2012',\n",
" 'data/BETR8010000800100hour.1-1-1990.31-12-2012']"
"[PosixPath('data/BETN0290000800100hour.1-1-1990.31-12-2012'),\n",
" PosixPath('data/FR040120000800100hour.1-1-1999.31-12-2012'),\n",
" PosixPath('data/FR040370000800100hour.1-1-1999.31-12-2012'),\n",
" PosixPath('data/BETR8010000800100hour.1-1-1990.31-12-2012')]"
]
},
"execution_count": 27,
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data_files = glob.glob(\"data/*0008001*\")\n",
"data_folder = Path(\"./data\")\n",
"data_files = list(data_folder.glob(\"*0008001*\"))\n",
"data_files"
]
},
Expand All @@ -1675,7 +1699,9 @@
"cell_type": "code",
"execution_count": 28,
"metadata": {
"clear_cell": true
"tags": [
"nbtutor-solution"
]
},
"outputs": [],
"source": [
Expand All @@ -1691,7 +1717,9 @@
"cell_type": "code",
"execution_count": 29,
"metadata": {
"clear_cell": true
"tags": [
"nbtutor-solution"
]
},
"outputs": [],
"source": [
Expand Down Expand Up @@ -1816,8 +1844,11 @@
}
],
"metadata": {
"jupytext": {
"formats": "ipynb,md:myst"
},
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -1831,7 +1862,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
"version": "3.9.7"
},
"nav_menu": {},
"toc": {
Expand Down
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