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Merge pull request #2271 from jupyter-naas/2255-matplotlib-create-pie…
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2255 matplotlib create piechart
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@FlorentLvr
FlorentLvr authored Oct 9, 2023
2 parents cd22b08 + 89627b6 commit 3b5de52
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293 changes: 293 additions & 0 deletions Matplotlib/Matplotlib_Create_Piechart.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "8c9ef857-6c86-47f6-8f65-57721efda695",
"metadata": {
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"source": [
"<img width=\"10%\" alt=\"Naas\" src=\"https://landen.imgix.net/jtci2pxwjczr/assets/5ice39g4.png?w=160\"/>"
]
},
{
"cell_type": "markdown",
"id": "cf7eb0f0-1f89-497f-bc54-a5fd83fc5a02",
"metadata": {
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"tags": []
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"source": [
"# Matplotlib - Create Piechart"
]
},
{
"cell_type": "markdown",
"id": "fa0d95b2-8af8-4f15-9f82-d2dbc77d2ada",
"metadata": {
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"source": [
"**Tags:** #matplotlib #piechart #datavisualization #plotting #python #visualization"
]
},
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"cell_type": "markdown",
"id": "fb885501-a3c0-4b63-92df-c01fd3dae1c8",
"metadata": {
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"source": [
"**Author:** [SaiKiran M](www.linkedin.com/in/msaikiran9)"
]
},
{
"cell_type": "markdown",
"id": "36705a1a-241c-483a-8735-a32b35a1d18f",
"metadata": {
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"source": [
"**Last update:** 2023-10-05 (Created: 2023-10-05)"
]
},
{
"cell_type": "markdown",
"id": "427a04f7-9e13-4c0c-bb0d-94a8d6f81bdb",
"metadata": {
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"source": [
"**Description:** This notebook will show how to create a piechart with Matplotlib. Pie charts are useful to represent proportions of a whole."
]
},
{
"cell_type": "markdown",
"id": "45c4bd95-2f4d-4574-8ded-cd8b6f04348a",
"metadata": {
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"source": [
"**References:**\n",
"- [Matplotlib Pie Chart](https://matplotlib.org/stable/plot_types/stats/pie.html#sphx-glr-plot-types-stats-pie-py)"
]
},
{
"cell_type": "markdown",
"id": "042761b8-c31a-4bb6-8f57-eaca1a012cf0",
"metadata": {
"papermill": {},
"tags": []
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"source": [
"## Input"
]
},
{
"cell_type": "markdown",
"id": "9b10f380-6ddc-48f5-90b4-9454ab324326",
"metadata": {
"papermill": {},
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"source": [
"### Import libraries"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "435a47b7-7012-4172-8565-a8b30ded1700",
"metadata": {
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"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import naas"
]
},
{
"cell_type": "markdown",
"id": "a8fa608d-e932-4819-9a1b-50e0977daa65",
"metadata": {
"papermill": {},
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"source": [
"### Setup variables\n",
"- `labels`: list of labels for each slice of the pie chart\n",
"- `sizes`: list of sizes for each slice of the pie chart\n",
"- `fig_path`: The file path or name for the output image file of the graph, saved as \"fig.png\"."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5c87fee1-24bb-469a-9ccc-313ae6452c9f",
"metadata": {
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"outputs": [],
"source": [
"# Inputs\n",
"labels = [\"hotdogs\", \"salads\", \"sandwich\", \"burger\"] #visualize shares of food of a hotel by giving labels.\n",
"sizes = [14.5, 30.5, 45, 10] #here hotdogs shares corresponds to 14.5 and so on.\n",
"\n",
"# Outputs\n",
"fig_path = \"pie.png\""
]
},
{
"cell_type": "markdown",
"id": "aff0bef4-284d-4fe2-9a0d-67ce8505bf9d",
"metadata": {
"papermill": {},
"tags": []
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"source": [
"## Model"
]
},
{
"cell_type": "markdown",
"id": "161eebd5-22b5-4d16-9791-46e6c457c163",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"### Create Pie Chart"
]
},
{
"cell_type": "markdown",
"id": "4b073715-6053-407e-888b-9a22a4f98b06",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"Create a pie chart with the given labels and sizes."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "448ee5c8-7b82-474c-9608-3a6cb5745660",
"metadata": {
"papermill": {},
"tags": []
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"outputs": [],
"source": [
"plt.pie(sizes, labels=labels, autopct='%1.1f%%')\n",
"plt.axis(\"equal\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "2a8540d3-b242-40a4-ae03-f814472275a3",
"metadata": {
"papermill": {},
"tags": []
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"source": [
"## Output"
]
},
{
"cell_type": "markdown",
"id": "f7413927-a8ba-4f8b-9939-15d4e1b095e9",
"metadata": {
"papermill": {},
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"source": [
"### Save figure"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "498629c1-6442-4694-bcdd-35ffd85a94a8",
"metadata": {
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"outputs": [],
"source": [
"plt.savefig(fig_path)"
]
},
{
"cell_type": "markdown",
"id": "0341a2a0-4905-45dd-a8c8-f1827cf7d212",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
"### Share asset with naas"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "063f9203-12cd-4705-b0cd-93cc9113acb4",
"metadata": {
"papermill": {},
"tags": []
},
"outputs": [],
"source": [
"naas.asset.add(fig_path)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "672cd7bd-98e3-451f-b99f-4d5e9a3e9750",
"metadata": {},
"outputs": [],
"source": []
}
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