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fix: removed unused table cols and added column preprocessor func #2304

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merged 1 commit into from
Oct 16, 2023
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fix: removed unused table cols and added column preprocessor func #2304

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64 changes: 22 additions & 42 deletions Worldometer/Worldometer_World_population_evolution_and_projections.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -57,7 +57,7 @@
"tags": []
},
"source": [
"**Last update:** 2023-04-12 (Created: 2021-05-05)"
"**Last update:** 2023-10-14 (Created: 2021-05-05)"
]
},
{
Expand Down Expand Up @@ -97,7 +97,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": null,
"id": "located-savannah",
"metadata": {
"papermill": {},
Expand All @@ -124,7 +124,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": null,
"id": "protecting-november",
"metadata": {
"papermill": {},
Expand All @@ -137,14 +137,13 @@
" \"https://www.worldometers.info/world-population/world-population-projections/\",\n",
"]\n",
"\n",
"# Update this list to have latest cols from worldometers\n",
"TABLE_COLS = [\n",
" \"Year\",\n",
" \"World Population\",\n",
" \"WorldPopulation\",\n",
" \"YearlyChange\",\n",
" \"NetChange\",\n",
" \"Density(P/Km²)\",\n",
" \"UrbanPop\",\n",
" \"UrbanPop %\",\n",
"]"
]
},
Expand Down Expand Up @@ -172,7 +171,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": null,
"id": "posted-ethics",
"metadata": {
"papermill": {},
Expand All @@ -182,14 +181,19 @@
"source": [
"# Generic functions\n",
"\n",
"def preprocess_cols(cols):\n",
" cols = [col.replace(' ', '') for col in cols]\n",
" return cols\n",
"\n",
"def scrap_table(url, table_cloumns):\n",
" page = requests.get(url)\n",
" soup = BeautifulSoup(page.text, \"html.parser\")\n",
" dfs = pd.read_html(page.text)\n",
"\n",
" for df in dfs:\n",
" if df.columns.to_list() == table_cloumns:\n",
" # Need this as df columns have space inconsistency\n",
" columns_in_page = preprocess_cols(df.columns.to_list())\n",
" if columns_in_page == table_cloumns:\n",
" df.columns = columns_in_page\n",
" return df\n",
" return None\n",
"\n",
Expand All @@ -202,34 +206,10 @@
" if table is None:\n",
" table = new_value\n",
" else:\n",
" table = table.append(new_value)\n",
" table = pd.concat([table, new_value])\n",
" return table"
]
},
{
"cell_type": "markdown",
"id": "surprising-basics",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"### Print table"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "nutritional-variable",
"metadata": {
"papermill": {},
"tags": []
},
"outputs": [],
"source": [
"table"
]
},
{
"cell_type": "markdown",
"id": "insured-prefix",
Expand All @@ -243,7 +223,7 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": null,
"id": "western-czech",
"metadata": {
"papermill": {},
Expand All @@ -258,7 +238,7 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": null,
"id": "entire-working",
"metadata": {
"papermill": {},
Expand Down Expand Up @@ -291,7 +271,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": null,
"id": "knowing-norfolk",
"metadata": {
"papermill": {},
Expand Down Expand Up @@ -330,7 +310,7 @@
},
{
"cell_type": "code",
"execution_count": 27,
"execution_count": null,
"id": "unusual-worker",
"metadata": {
"papermill": {},
Expand All @@ -354,7 +334,7 @@
},
{
"cell_type": "code",
"execution_count": 21,
"execution_count": null,
"id": "terminal-brown",
"metadata": {
"papermill": {},
Expand All @@ -378,7 +358,7 @@
},
{
"cell_type": "code",
"execution_count": 22,
"execution_count": null,
"id": "according-springfield",
"metadata": {
"papermill": {},
Expand All @@ -404,7 +384,7 @@
},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": null,
"id": "fundamental-aquatic",
"metadata": {
"papermill": {},
Expand Down Expand Up @@ -454,4 +434,4 @@
},
"nbformat": 4,
"nbformat_minor": 5
}
}
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