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Merge pull request #24 from lucasd-7905/master
Matplotlib Docs (Incomplete)
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‎notebooks/PyInChem/Matplotlib_Documentation.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4c983a83-8172-4b50-b428-b65eb006acc2",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "markdown",
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"id": "9b6f0144-2402-43ec-927a-33517502a59d",
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"metadata": {},
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"source": [
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"## Searching the Docs - Matplotlib!\n",
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"#### Introduction:"
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]
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},
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{
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"cell_type": "markdown",
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"id": "75ab876e-424b-4cd3-929e-f6d40c13cc67",
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"metadata": {},
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"source": [
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"### Task 1: Finding argument options from the documentation page\n",
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"\n",
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"Here is some code to create a linear plot. The datapoints have been defined as a circle.\n",
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"1. Can you change the markers to crosses?\n",
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" > **Hint:** Where has the datapoint style been defined in the code?\n",
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"2. Now can you change them to be squares?\n",
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" > **Hint:** Take a look at the `matplotlib.markers` documentation page [here](matplotlib.org/stable/api/markers_api.html#module-matplotlib.markers).\n",
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"3. Can you change the linestyle to be a dotted line?\n",
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" > **Hint:** Find the linestyle menu on `matplotlib.pyplot.plot` documentation page [here](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html).\n",
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"4. Now can you increase the data point size?\n",
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" > **Hint:** What did you do in task 3?"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ab5c3579-d62e-4751-b182-682fc4c2531f",
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"metadata": {},
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"outputs": [],
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"source": [
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"T = np.array([700, 750, 800, 850, 900])\n",
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"k = np.array([1.5e-5, 4.9e-4, 5.9e-3, 4.7e-2, 5.5e-1])\n",
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"\n",
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"plt.plot(1000/T, np.log(k), marker='o', linestyle='-')\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "95dfea33-1642-4653-8a80-ba4dc8ff3d9e",
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"metadata": {},
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"source": [
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"### Task 2: Exploring Pyplot Functions"
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]
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},
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{
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"cell_type": "markdown",
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"id": "321ad4e0-b412-49af-b941-fdadf740617c",
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"metadata": {},
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"source": [
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"1. Explore the [matplotlib.pyplot](https://matplotlib.org/stable/api/pyplot_summary.html#module-matplotlib.pyplot) documentation page to find the function to change the y axis scale to a log scale. Once found, ammend the code below accordingly.\n",
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"2. Explore the [matplotlib.pyplot](https://matplotlib.org/stable/api/pyplot_summary.html#module-matplotlib.pyplot) documentation page to format the x and y axis major and minor ticks. Update the code accordingly. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "951f91a1-0e80-43ec-aaa0-97ac7976432d",
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"metadata": {},
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"outputs": [],
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"source": [
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"data = np.genfromtxt(\"Venus data.csv\", skip_header=1, delimiter=',', dtype=float, usecols=(1, 2, 3))\n",
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"\n",
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"plt.plot(data[:, 0], data[:, 1], color='b', label=\"SO\")\n",
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"plt.plot(data[:, 0], data[:, 2], color='r', label=r\"SO$_2$\")\n",
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"plt.xlabel('Altitude (km)', fontsize=14)\n",
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"plt.ylabel('Mixing Ratio (ppm)', fontsize=14)\n",
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"plt.xlim(0, 180)\n",
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"plt.ylim(0, 1e-5)\n",
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"plt.minorticks_on()\n",
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"plt.legend(frameon=False, fontsize=14)\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "3ffabcd1-fc1e-4394-9524-3eb4271e6a34",
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"metadata": {},
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"source": [
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"### Task 3: Different Plot Types\n",
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"\n",
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"1. Create a boxplot from data and format it appropriately\n",
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"2. Create a violinplot (displaying mean values) and format it appropriately"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "510c0e66-df4f-42ea-91dd-c35a8710e6bc",
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"metadata": {},
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"outputs": [],
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"source": [
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"data = np.genfromtxt(\"Vit C in Orange Juice.csv\", skip_header=1, delimiter=',', dtype=float)\n",
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"\n",
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"plt.boxplot(data)\n",
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"plt.show()\n",
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"\n",
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"plt.violinplot(data, showmeans=True)\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b1bbdbd4-78ce-4010-a41d-0ac3dabe7d39",
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"metadata": {},
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"source": [
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"# TODO:\n",
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"\n",
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"- Searching\n",
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"- Understanding scary examples\n",
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"- A non-coding activity (MCQ/Drag and drop style)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b204a3c2-ed09-4725-b712-acb6ffcd3645",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.8"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

‎notebooks/PyInChem/Venus data.csv‎

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,altitude,so,so2
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‎notebooks/PyInChem/Vit C in Orange Juice.csv‎

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Freshly squeezed orange juice - Unpasteurised (mg/100 mL),Premium (Industry pasteurised) juice (mg/100 mL),Budget (UHT) juice (mg/ 100 mL),Organic Juice (mg/ 100mL)
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