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example_gallery
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markur4 committed Dec 1, 2023
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294 changes: 294 additions & 0 deletions IMAGES/EXAMPLE_GALLERY/example_gallery.ipynb
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Expand Up @@ -1928,6 +1928,300 @@
"plt.savefig(\"cars1.png\", dpi=300, bbox_inches=\"tight\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Dataset \"titanic\""
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" 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>survived</th>\n",
" <th>pclass</th>\n",
" <th>sex</th>\n",
" <th>age</th>\n",
" <th>sibsp</th>\n",
" <th>parch</th>\n",
" <th>fare</th>\n",
" <th>embarked</th>\n",
" <th>class</th>\n",
" <th>who</th>\n",
" <th>adult_male</th>\n",
" <th>deck</th>\n",
" <th>embark_town</th>\n",
" <th>alive</th>\n",
" <th>alone</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>male</td>\n",
" <td>22.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>7.2500</td>\n",
" <td>S</td>\n",
" <td>Third</td>\n",
" <td>man</td>\n",
" <td>True</td>\n",
" <td>NaN</td>\n",
" <td>Southampton</td>\n",
" <td>no</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>female</td>\n",
" <td>38.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>71.2833</td>\n",
" <td>C</td>\n",
" <td>First</td>\n",
" <td>woman</td>\n",
" <td>False</td>\n",
" <td>C</td>\n",
" <td>Cherbourg</td>\n",
" <td>yes</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>female</td>\n",
" <td>26.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>7.9250</td>\n",
" <td>S</td>\n",
" <td>Third</td>\n",
" <td>woman</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>Southampton</td>\n",
" <td>yes</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>female</td>\n",
" <td>35.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>53.1000</td>\n",
" <td>S</td>\n",
" <td>First</td>\n",
" <td>woman</td>\n",
" <td>False</td>\n",
" <td>C</td>\n",
" <td>Southampton</td>\n",
" <td>yes</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>male</td>\n",
" <td>35.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>8.0500</td>\n",
" <td>S</td>\n",
" <td>Third</td>\n",
" <td>man</td>\n",
" <td>True</td>\n",
" <td>NaN</td>\n",
" <td>Southampton</td>\n",
" <td>no</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>886</th>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>male</td>\n",
" <td>27.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>13.0000</td>\n",
" <td>S</td>\n",
" <td>Second</td>\n",
" <td>man</td>\n",
" <td>True</td>\n",
" <td>NaN</td>\n",
" <td>Southampton</td>\n",
" <td>no</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>887</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>female</td>\n",
" <td>19.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>30.0000</td>\n",
" <td>S</td>\n",
" <td>First</td>\n",
" <td>woman</td>\n",
" <td>False</td>\n",
" <td>B</td>\n",
" <td>Southampton</td>\n",
" <td>yes</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>888</th>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>female</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>23.4500</td>\n",
" <td>S</td>\n",
" <td>Third</td>\n",
" <td>woman</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>Southampton</td>\n",
" <td>no</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>889</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>male</td>\n",
" <td>26.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>30.0000</td>\n",
" <td>C</td>\n",
" <td>First</td>\n",
" <td>man</td>\n",
" <td>True</td>\n",
" <td>C</td>\n",
" <td>Cherbourg</td>\n",
" <td>yes</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>890</th>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>male</td>\n",
" <td>32.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>7.7500</td>\n",
" <td>Q</td>\n",
" <td>Third</td>\n",
" <td>man</td>\n",
" <td>True</td>\n",
" <td>NaN</td>\n",
" <td>Queenstown</td>\n",
" <td>no</td>\n",
" <td>True</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>891 rows × 15 columns</p>\n",
"</div>"
],
"text/plain": [
" survived pclass sex age sibsp parch fare embarked class \\\n",
"0 0 3 male 22.0 1 0 7.2500 S Third \n",
"1 1 1 female 38.0 1 0 71.2833 C First \n",
"2 1 3 female 26.0 0 0 7.9250 S Third \n",
"3 1 1 female 35.0 1 0 53.1000 S First \n",
"4 0 3 male 35.0 0 0 8.0500 S Third \n",
".. ... ... ... ... ... ... ... ... ... \n",
"886 0 2 male 27.0 0 0 13.0000 S Second \n",
"887 1 1 female 19.0 0 0 30.0000 S First \n",
"888 0 3 female NaN 1 2 23.4500 S Third \n",
"889 1 1 male 26.0 0 0 30.0000 C First \n",
"890 0 3 male 32.0 0 0 7.7500 Q Third \n",
"\n",
" who adult_male deck embark_town alive alone \n",
"0 man True NaN Southampton no False \n",
"1 woman False C Cherbourg yes False \n",
"2 woman False NaN Southampton yes True \n",
"3 woman False C Southampton yes False \n",
"4 man True NaN Southampton no True \n",
".. ... ... ... ... ... ... \n",
"886 man True NaN Southampton no True \n",
"887 woman False B Southampton yes True \n",
"888 woman False NaN Southampton no False \n",
"889 man True C Cherbourg yes True \n",
"890 man True NaN Queenstown no True \n",
"\n",
"[891 rows x 15 columns]"
]
},
"execution_count": 79,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"DF = sns.load_dataset(\"titanic\")\n",
"DF"
]
},
{
"cell_type": "code",
"execution_count": null,
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -34,9 +34,9 @@ pip install git+https://github.com/markur4/plotastic.git

<h1 align="center">
<img src="https://raw.githubusercontent.com/markur4/plotastic/main/IMAGES/EXAMPLE_GALLERY/qpcr1.png" alt="logo">
<img src="https://raw.githubusercontent.com/markur4/plotastic/main/IMAGES/EXAMPLE_GALLERY/tips1.png" width="400px" alt="logo">
<img src="https://raw.githubusercontent.com/markur4/plotastic/main/IMAGES/EXAMPLE_GALLERY/tips1.png" width="350px" alt="logo">
<img src="https://raw.githubusercontent.com/markur4/plotastic/main/IMAGES/EXAMPLE_GALLERY/iris1.png" width="400px" alt="logo">
<img src="https://raw.githubusercontent.com/markur4/plotastic/main/IMAGES/EXAMPLE_GALLERY/mpg1.png" width="400px" alt="logo">
<img src="https://raw.githubusercontent.com/markur4/plotastic/main/IMAGES/EXAMPLE_GALLERY/cars1.png" alt="logo">
</h1>


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