To create a scatter plot of the Iris flower data set with the matplotlib library, take the following steps: The matplotliblibrary is automatically imported for Python in Excel with the following import statement, letting you reference it as plt. Python in Excel creates the visualization with the matplotlib open-source library. The example creates a scatter plot that looks like the following screenshot, comparing the sepal_width and sepal_length values. A scatter plot shows the relationship between two numerical variables in a data set. This example describes how to create a scatter plot with the Iris flower sample data set. To learn how to extract the image, see the Extract an image object to the Excel grid article section in this article. You can keep the visualization as an image object to continue using it for Python calculations, or you can extract the image to the Excel grid to resize it and view each plot in more detail. See the following screenshot for an example. Select the card icon in the image object cell to see a preview of the visualization. Note: If you encounter any errors, see Troubleshoot Python in Excel errors for more information.Īfter committing your Python formula, Python in Excel returns the pair plot visualization in an image object. In this example, Table1 in the worksheet contains the Iris dataset. It includes the entire table contents (as ), and notes that the table includes a header row (as headers=True). Pairplot = sns.pairplot(xl("Table1", headers=True))Īs the argument for the pairplot function, the code snippet uses the custom Python function xl() and references the first table in the worksheet, Table1. It creates the pair plot with the seaborn library alias sns and the seaborn function pairplot. The code snippet stores the pair plot as a variable called pairplot. To create a pair plot of the Iris flower data set with the seaborn library, take the following steps:Įnter the following code snippet in a Python in Excel cell. The seabornlibrary is automatically imported for Python in Excel with the following import statement, letting you reference it with the alias sns. Python in Excel creates the visualization with the seaborn library. In this case, the Iris flower data set contains four columns of numerical data: sepal_length, sepal_width, petal_length, and petal_width. A pair plot is a matrix of plots and charts that compares the relationship between each variable in a data set. This example shows how to create a pair plot visualization of the Iris flower data set. Download a copy of the data set and open it in Excel for Windows to follow along with the samples: python-in-excel-iris-dataset.xlsx. The examples in this article use a sample machine learning data set called the Iris flower data set. To learn more about the open-source libraries available with Python in Excel, see Open-source libraries and Python in Excel. This article describes how to use Python libraries, such as seabornand matplotlib, to create plots and charts. Python in Excel comes with a core set of Python libraries provided by Anaconda. Use open-source Python libraries to create plots and charts New to Python in Excel? Start with Introduction to Python in Excel and Get started with Python in Excel. If you encounter any issues with Python in Excel, please report them by selecting Help > Feedback in Excel. At this time, the feature is not available on other platforms. Python in Excel is gradually rolling out to Excel for Windows customers using the Beta Channel. To use this feature, join the Microsoft 365 Insider Program and choose the Beta Channel Insider level. Python in Excel is currently in preview and is subject to change based on the feedback.
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