{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "In this lesson we will learn how to create a **basic pandas plot**. Discover why MatPlotLib is Python's default charting library and how it is used to create **Pandas visualizations**.\n", "\n", "Pandas is built on top of Numpy and MatPlotLib. It uses MatPlotLib for most of its charting capabilities. \n", "\n", "> Tip: If you ever have a plotting question and are not finding an answer. Try searching for it using the ***MatPlotLib*** keyword instead of Pandas. \n", "\n", "Let's start by importing Pandas. Note that we do not have to import MatPlotLib as it is already part of Pandas. But in order to get the version of MatPlotLib installed on my machine, I need to import it as shown below. \n", "\n", "You can set up your Notebook to automatically import frequently used libraries. To do this, search online for the specific steps. I personally try to avoid any custom configurations." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib as mpl\n", "import sys" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here are the versions of the libraries I'm currently on." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Python: 3.11.7 \n", "Pandas: 2.2.1\n", "MatPlotLib: 3.8.4\n" ] } ], "source": [ "print('Python: ' + sys.version.split('|')[0])\n", "print('Pandas: ' + pd.__version__)\n", "print('MatPlotLib: ' + mpl.__version__)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's steamroll straight into creating our dataframe. We are going to be creating a Pandas dataframe out of a Python dictionary. If you haven't seen my post on [creating Pandas dataframes](https://hedaro.com/Programming-Languages/Python/Pandas/Pandas---Create-DataFrame), I encourage you to do that before moving on. \n", "\n", "Here we have a one column dataframe with a few numeric rows. This is the data we will be plotting. " ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
hello
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" ], "text/plain": [ " hello\n", "0 345\n", "1 56\n", "2 678\n", "3 4\n", "4 2" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = pd.DataFrame({'hello':[345,56,678,4,2]})\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Plotting in Pandas

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plotting in Pandas is actually very easy to get started with. The very basics are completely taken care of for you and you have to write very little code. It does get a bit tricky as you move past the basic plotting features of the library. This is where ChatGPT is your friend.\n", "\n", "By simply adding ***.plot()***, you have yourself a Pandas visualization. We used to be able to resize the plot with the mouse but it seems that feature has been disabled." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**`` ???** \n", "Yes, I feel your pain. Why is this even here? When you create a plot in Pandas, it returns an axes object by default.\n", "\n", "### What is an Axes Object?\n", "\n", "An **axes object** in Matplotlib is essentially the area of the plot where the data is plotted. It includes the x-axis, y-axis, and the actual plotting area where the lines, bars, or other plot elements appear.\n", "\n", "### Structure of a Plot in Matplotlib\n", "\n", "A typical Matplotlib plot is composed of several key components:\n", "\n", "- **Figure**: This is the overall window or page that everything is drawn on. It can contain multiple plots (axes).\n", "- **Axes**: This is the area where data is plotted. A figure can contain multiple axes.\n", "- **Axis**: These are the x and y axes that provide a reference framework for the data.\n", "\n", "### Why Does `` Appear?\n", "\n", "The `` message appears because, in a Jupyter Notebook, when you create a plot, the default behavior is to display the representation of the last object returned by the cell. When you call the `plot()` function from Pandas, it returns an axes object, and Jupyter tries to display its string representation, which is ``.\n", "\n", "**The good news** is that we can get rid of that pesky text by adding a semi colon at the end of our code cell like shown below." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df.plot();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Selecting Chart Type

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the past we were able to create different types of charts by using the parameter called ***kind***. But now Pandas makes it even easier. Let me illustrate the two.\n", "\n", "By setting the kind parameter to ***bar***, we get a bar chart." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df.plot(kind='bar');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can now pass the chart types as methods to plot and this makes it much easier. I recommend you discontinue the use of the ***kind*** parameter going forward.\n", "\n", "> Tip: Type ***df.plot.*** and then press the ***Tab*** key on your keyboard. This will show you all of the chart options." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df.plot.bar();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Styling your Pandas Visualization

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When you are actually sifting through data and are concentrating, the default dot plot Pandas function works just fine. The only time you really want to style your plots is when you plan on presenting your work. This is where it becomes valuable to make things look pretty and readable to as many people as possible. Below we will go over a few examples to help you get there.\n", "\n", "Oddly enough, setting your plots on a variable makes this process a breeze.\n", "\n", "* We start by adjusting the figure size. You can use the ***figsize*** parameter and select the width and height of your visualizations.\n", "\n", "* We can also pass into the ***plot*** function the ***color*** parameter and change the default line color of the plot.\n", "\n", "* The ***set_title*** function allows you to title your charts. You can also change the font size to your liking.\n", "\n", "* The ***set_xlabel*** function allows you to title the x axis. You can also use the fontsize parameter here.\n", "\n", "* The ***set_ylabel*** function allows you to title the t axis. You can also use the fontsize parameter here.\n", "\n", "* The ***legend*** function accepts a Python list and lets you customize the legend labels." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "p = df.plot(figsize=(15,5), color='green')\n", "\n", "p.set_title('Hello World', fontsize=15)\n", "p.set_xlabel('x axis')\n", "p.set_ylabel('y axis')\n", "p.legend(['testing']);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And that is it for today. You should have enough horsepower to get started on your own plots. If your plots don't work or don't look quite right, keep going. I was just using .plot() for years and I then picked up more plotting skills over time." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

This tutorial was created by HEDARO

" ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.7" } }, "nbformat": 4, "nbformat_minor": 4 }