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Commit 01239524 authored by 1899a69eca748c9e8b02007d0e49196a's avatar 1899a69eca748c9e8b02007d0e49196a
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module3/exo3/exercice.ipynb
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......@@ -8056,7 +8056,7 @@
},
{
"cell_type": "code",
"execution_count": 72,
"execution_count": 81,
"metadata": {},
"outputs": [
{
......@@ -8064,62 +8064,51 @@
"output_type": "stream",
"text": [
"Belgium\n",
"confirmed cases 169\n",
"Name: 2020-03-07 00:00:00, dtype: object\n",
"2020-03-07 00:00:00\n",
"2020-04-06 00:00:00\n",
"China (all provinces except Hong Kong)\n",
"confirmed cases 548\n",
"Name: 2020-01-22 00:00:00, dtype: object\n",
"2020-01-22 00:00:00\n",
"2020-02-21 00:00:00\n",
"China\n",
"confirmed cases 548\n",
"Name: 2020-01-22 00:00:00, dtype: object\n",
"2020-01-22 00:00:00\n",
"2020-02-21 00:00:00\n",
"Hong-Kong\n",
"confirmed cases 155\n",
"Name: 2020-03-16 00:00:00, dtype: object\n",
"2020-03-16 00:00:00\n",
"2020-04-15 00:00:00\n",
"France except Dom/Tom\n",
"confirmed cases 191\n",
"Name: 2020-03-02 00:00:00, dtype: object\n",
"2020-03-02 00:00:00\n",
"2020-04-01 00:00:00\n",
"Germany\n",
"confirmed cases 159\n",
"Name: 2020-03-02 00:00:00, dtype: object\n",
"2020-03-02 00:00:00\n",
"2020-04-01 00:00:00\n",
"Iran\n",
"confirmed cases 245\n",
"Name: 2020-02-27 00:00:00, dtype: object\n",
"2020-02-27 00:00:00\n",
"2020-03-28 00:00:00\n",
"Italy\n",
"confirmed cases 155\n",
"Name: 2020-02-23 00:00:00, dtype: object\n",
"2020-02-23 00:00:00\n",
"2020-03-24 00:00:00\n",
"Japan\n",
"confirmed cases 159\n",
"Name: 2020-02-24 00:00:00, dtype: object\n",
"2020-02-24 00:00:00\n",
"2020-03-25 00:00:00\n",
"Korea South\n",
"confirmed cases 204\n",
"Name: 2020-02-21 00:00:00, dtype: object\n",
"2020-02-21 00:00:00\n",
"2020-03-22 00:00:00\n",
"Netherlands without the colonies\n",
"confirmed cases 188\n",
"Name: 2020-03-07 00:00:00, dtype: object\n",
"2020-03-07 00:00:00\n",
"2020-04-06 00:00:00\n",
"Portugal\n",
"confirmed cases 169\n",
"Name: 2020-03-14 00:00:00, dtype: object\n",
"2020-03-14 00:00:00\n",
"2020-04-13 00:00:00\n",
"Spain\n",
"confirmed cases 165\n",
"Name: 2020-03-03 00:00:00, dtype: object\n",
"2020-03-03 00:00:00\n",
"2020-04-02 00:00:00\n",
"United Kingdom without the colonies\n",
"confirmed cases 163\n",
"Name: 2020-03-06 00:00:00, dtype: object\n",
"2020-03-06 00:00:00\n",
"2020-04-05 00:00:00\n",
"US\n",
"confirmed cases 219\n",
"Name: 2020-03-05 00:00:00, dtype: object\n"
"2020-03-05 00:00:00\n",
"2020-04-04 00:00:00\n"
]
},
{
"data": {
"text/plain": [
"confirmed cases 219\n",
"Name: 2020-03-05 00:00:00, dtype: object"
]
},
"execution_count": 72,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
......@@ -8127,7 +8116,9 @@
"for region, data in to_plot.items(): # something is wrong here!\n",
" print(region)\n",
" row = data[data[\"confirmed cases\"] >= 150].iloc[0]\n",
" print(row)\n",
" print(row.name)\n",
" date_to_look_at = row.name + datetime.timedelta(days=30)\n",
" print(date_to_look_at)\n",
" \n",
"# col = data.columns[0] \n",
"# for i, val in enumerate(data[\"confirmed cases\"]):\n",
......@@ -8148,22 +8139,22 @@
},
{
"cell_type": "code",
"execution_count": 77,
"execution_count": 79,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"pandas.core.series.Series"
"Timestamp('2020-03-05 00:00:00')"
]
},
"execution_count": 77,
"execution_count": 79,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(row)"
"row.name"
]
},
{
......
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