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generateReadme: Refresh
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@FlorentLvr
FlorentLvr committed Feb 22, 2022
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7 changes: 5 additions & 2 deletions Boursorama/Boursorama_Get_CDS.ipynb
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{
"cell_type": "markdown",
"id": "2aceffa8-7ba3-4186-b1ad-81f6e11cb685",
"metadata": {},
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"**Author:** [Jeremy Ravenel](https://www.linkedin.com/in/ACoAAAJHE7sB5OxuKHuzguZ9L6lfDHqw--cdnJg/)"
]
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},
"nbformat": 4,
"nbformat_minor": 5
}
}
218 changes: 12 additions & 206 deletions CSV/CSV_Read_file.ipynb
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{
"cell_type": "markdown",
"id": "22adc193-61a4-47e5-8575-63eec1d6e77d",
"metadata": {},
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"<img width=\"10%\" alt=\"Naas\" src=\"https://landen.imgix.net/jtci2pxwjczr/assets/5ice39g4.png?w=160\"/>"
]
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"tags": []
},
"source": [
"# CSV - Read a csv file\n",
"<a href=\"https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/CSV/Read_a_csv_file.ipynb\" target=\"_parent\"><img src=\"https://naasai-public.s3.eu-west-3.amazonaws.com/open_in_naas.svg\"/></a>"
"# CSV - Read file\n",
"<a href=\"https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/CSV/CSV_Read_file.ipynb\" target=\"_parent\"><img src=\"https://naasai-public.s3.eu-west-3.amazonaws.com/open_in_naas.svg\"/></a>"
]
},
{
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{
"cell_type": "markdown",
"id": "790173fe-2b01-4a87-ba3a-d27031611d3c",
"metadata": {},
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"You want to add more parameters ?<br>\n",
"👉 Check out the pandas documentation <a href=\"https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html\">here</a>."
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"papermill": {},
"tags": []
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Province/State</th>\n",
" <th>Country/Region</th>\n",
" <th>Lat</th>\n",
" <th>Long</th>\n",
" <th>1/22/20</th>\n",
" <th>1/23/20</th>\n",
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" <th>2/21/22</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>NaN</td>\n",
" <td>Afghanistan</td>\n",
" <td>33.93911</td>\n",
" <td>67.709953</td>\n",
" <td>0</td>\n",
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" <td>172205</td>\n",
" <td>172441</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>NaN</td>\n",
" <td>Albania</td>\n",
" <td>41.15330</td>\n",
" <td>20.168300</td>\n",
" <td>0</td>\n",
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" <td>270164</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>NaN</td>\n",
" <td>Algeria</td>\n",
" <td>28.03390</td>\n",
" <td>1.659600</td>\n",
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" <td>264201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>NaN</td>\n",
" <td>Andorra</td>\n",
" <td>42.50630</td>\n",
" <td>1.521800</td>\n",
" <td>0</td>\n",
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" <td>...</td>\n",
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" <td>37522</td>\n",
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" <td>37589</td>\n",
" <td>37589</td>\n",
" <td>37589</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>NaN</td>\n",
" <td>Angola</td>\n",
" <td>-11.20270</td>\n",
" <td>17.873900</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>...</td>\n",
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" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 766 columns</p>\n",
"</div>"
],
"text/plain": [
" Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n",
"0 NaN Afghanistan 33.93911 67.709953 0 0 \n",
"1 NaN Albania 41.15330 20.168300 0 0 \n",
"2 NaN Algeria 28.03390 1.659600 0 0 \n",
"3 NaN Andorra 42.50630 1.521800 0 0 \n",
"4 NaN Angola -11.20270 17.873900 0 0 \n",
"\n",
" 1/24/20 1/25/20 1/26/20 1/27/20 ... 2/12/22 2/13/22 2/14/22 \\\n",
"0 0 0 0 0 ... 170152 170604 171246 \n",
"1 0 0 0 0 ... 267551 268008 268304 \n",
"2 0 0 0 0 ... 261226 261752 262165 \n",
"3 0 0 0 0 ... 37140 37140 37277 \n",
"4 0 0 0 0 ... 98514 98514 98514 \n",
"\n",
" 2/15/22 2/16/22 2/17/22 2/18/22 2/19/22 2/20/22 2/21/22 \n",
"0 171422 171519 171673 171857 171931 172205 172441 \n",
"1 268491 268940 269301 269601 269904 270164 270370 \n",
"2 262570 262994 263369 263685 263936 264054 264201 \n",
"3 37361 37452 37522 37589 37589 37589 37589 \n",
"4 98555 98568 98585 98605 98617 98638 98658 \n",
"\n",
"[5 rows x 766 columns]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"df.head(5) #read the first 5 lines"
]
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},
"nbformat": 4,
"nbformat_minor": 5
}
}
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