The code below downloads the daily closing prices for Apple (AAPL), Microsoft (MSFT), Tesla (TSLA), Nvidia (NVDA), and Intel (INTC). (financial functions for Python) library it is very easy to download the data for a given list of stock tickers. Why stock prices? Because it is trendy for people to use (maybe I’ll get some good SEO?), but also using the ffn How can you loop through a subplot grid? # Example dataset #īefore we can demonstrate the plotting methods, we need an example dataset.įor this analysis, we will use a dataset containing the daily closing stock prices of some popular tech stocks and demonstrate how to plot each time-series on a separate subplot. In this post, I outline two different methods for plotting subplots in a single loop which I find myself using on a regular basis. While this gives you a lot of flexibility it can be overwhelming and difficult to understand the best way to do things, particularly when starting out or learning new functionality. One strength, but also arguably one of Matplotlib’s biggest weaknesses, is its flexibility which allows you to accomplish the same task in many different ways. So what can we do in this situation? We have a list of items we want to plot and we have a list of lists with our subplots, is there a way to conveniently plot our data in a single for loop? This is because, when creating the subplot grid using plt.subplots, you are returned list of lists containing the subplot objects, rather than a single list containing of subplot objects which you can iterate through in a single for loop (see below): ![]() However, when using Matplotlib’s plotting API it is not straightforward to just create a grid of subplots and directly iterate through them in conjunction with your list of plotting attributes. ![]() total order value by day) on a grid of individual subplots. a list of customer IDs) and sequentially plot their values (e.g. In an ideal world, you would like to be able to iterate this list of items (e.g. For example, when you have a list of attributes or cross-sections of the data which you want investigate further by plotting on separate plots. When carrying out exploratory data analysis (EDA), I repeatedly find myself Googling how to plot subplots in Matplotlib using a single for loop. other options for subplots using Pandas inbuilt methods and Seabornįor this post are available in this Github repository Problem Statement #.how to dynamically adjust the subplot grid layout.two different methods for populating Matplotlib subplots.Udalguri_legend = mpatches.Trouble getting to grips with the Matplotlib subplots API? This post will go through: Shillong_legend = mpatches.Patch(color='magenta', label='Shillong') Resu_legend = mpatches.Patch(color='blue', label='Resu') Plt.ylabel('Temperature (☌)', color='#e74c3c')Ĭoochbehar_legend = mpatches.Patch(color='cyan', label='Cooch Behar') We consider the temperatures (in °celsius) of a typical Autumn morning from 6 AM to 11 AM, in the four towns of Cooch Behar, Resu, Shillong and Udalguri. We will now plot four subplots in a figure. Russia_legend = mpatches.Patch(color='blue', label='Russia') Us_legend = mpatches.Patch(color='red', label='US') We use the second syntax for subplot(), where the number of rows, number of colums and the index of the subplot are represented as a 3-digit integer. The details will be presented as two subplots in a single figure. ![]() Next, we will first create two subplots in a figure.įor this, we consider the number of medals won by two countries (one for each subplot), the US and Russia, in the Summer Olympics between the years 19 to plot. The other way to indicate position is just to combine the rows, columns and index parameters as a 3-digit integer, stripping off the commas.Īnd lastly, each subplot can also be assigned to some variable, say, ax, and that assigned subplot ax can be added to the figure. The last parameter **keyword are comma-separated arguments for the returned Axes base class. The index position starts at 1 in the upper left corner and increases to the right. Where the first two parameters rows and columns indicate the number of rows and columns of a grid.
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