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Controlling Tkinter Application Layout In order to organize or arrange or place all the widgets in the parent window, Tkinter provides us the geometric configuration of the widgets. The GUI Application Layout is mainly controlled by Geometric Managers of Tkinter. It is important to note here that each window and Frame in your application is allowedContinue Reading

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Tkinter Widgets There are various controls, such as buttons, labels, scrollbars, radio buttons, and text boxes used in a GUI application. These little components or controls of Graphical User Interface (GUI) are known as widgets in Tkinter. These are 19 widgets available in Python Tkinter module. Below we have all the widgets listed down with a basic description: Name of Widget Description Button IfContinue Reading

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In Matploltlib library, The image module is used for adding images in plots and figures. Now we will cover some examples showing how you can work with images: Example 1: In the code snippet, we will read the image using imread() and then display the image using imshow(): Copy Following will be the output: ExampleContinue Reading

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Writing Mathematical Expressions The subset TeX markup can be used in any matplotlib text string just by placing it inside a pair of dollar signs ($). Let us cover example for more clear understanding. Using Mathematical Expression: In the example given below, we will represent subscript and superscript: Following is the output of the above code:Continue Reading

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There is extensive text support in Matplotlib that includes support for mathematical expressions, the Truetype support for raster, and vector outputs, also there is a newline-separated text with arbitrary rotations, and Unicode support. Working with Text The Matplotlib library has its own matplotlib.font_manager that is used to implement a cross-platform, W3C compliant font finding algorithm. GivenContinue Reading

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In Matplotlib’s mpl_toolkits.mplot3d toolkit there is axes3d present that provides the necessary functions that are very useful in creating 3D surface plots. The representation of a three-dimensional dataset is mainly termed as the Surface Plot. Creation of 3D Surface Plot To create the 3-dimensional surface plot the ax.plot_surface() function is used in matplotlib. The required syntax for this function is given below:Continue Reading

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For the data visualization using 3D wireframe, we require some modules from matplotlib, mpl_toolkits and numpy library. The wireframe plot basically takes a grid of values and projects it onto the specified 3-dimensional surfaces, and it can help in making the resulting three-dimensional forms quite easy for visualization. To create the 3D Wireframe plot the plot_wireframe() functionContinue Reading

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To draw or to enable the 3d plots you just need to import the mplot3d toolkit. There is a function named ax.contour3D() that is used to create a three-dimensional contour plot. This function requires all the input data to be in the form of two-dimensional regular grids, with its Z-data evaluated at each point. 3D Contour Plot Example InContinue Reading

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It is important to note that Matplotlib was initially designed with only two-dimensional plotting in mind. But later on, some three-dimensional plotting utilities were built on top of Matplotlib’s two-dimensional display, which provides a set of tools for three-dimensional data visualization in matplotlib. Also, a 2D plot is used to show the relationshipsContinue Reading