How to Plot a Pie Chart using Bokeh Library in Python17 Mar 2025 | 3 min read Bokeh is a Python library which is used for data visualization. It creates its plots using HTML and JavaScript languages, and it also targets modern website browsers to provide presentation elegant, concise construction of novel graphics good high-performance interactivity. In this tutorial, we will learn how to plot a pie chart by using the Bokeh library in Python. Although the bokeh library does not provide any module for directly plotting a pie chart, users can use wedge glyphs to create the pie chart. The wedge () function has the following primary parameters:
To plot wedges in such a way that the output looks like a pie chart. However, the x and y coordinates of the wedge and the radius parameters, the user has to adjust the start_angle and end_angle parameters. Example 1:Output: ![]() Example 2:In this example, the user will visualize some data. The data contains the detail of the field in which a company invested in 2014 - 15. The fields are:
The user can convert the percentage into radian for finding the value of start_angle and end_angle by using the following formula: Code: Output: ![]() ConclusionIn this tutorial, we have discussed how we can plot a pie chart for the visualization of data by using the bokeh library in Python. |
In Python, it is very easy to convert elements comparing with other programming languages. In this tutorial, we will discuss different methods for converting hexadecimal string to decimal string. Method 1: By using int() function The int() function is used for performing these types of tasks, the...
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- sign(),signbit(), copysign() Hi! Everyone. We already know that numpy contains many functions which are very useful for performing operations on numbers in python. Today, let us learn about a few operations named sign(), signbit(), copysign() functions. These functions can only be applied in python only....
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PyQt5 is a popular Python library for creating computer packages with graphical person interfaces (GUIs). One of the essential widgets supplied through PyQt5 is the QDoubleSpinBox, which permits users to enter floating-factor numbers inside a certain range. Often, in packages wherein numeric input is critical, builders...
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In this article, we will discuss how we can convert a set to a list in Python. Before that let's have a quick revision of lists and sets. List - It is a sequence of elements enclosed in square brackets where each element is separated with a comma. Syntax...
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Introduction: In this article, we are discussing Deepchecks: Testing Machine Learning Models (Python). A successful and reliable system gaining knowledge of version must mature through the various degrees. It starts from records series and wrangling, splitting the facts accurately, and schooling, testing, and validating the version correctly...
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We showcase the best books for mastering Python in this tutorial from a wide variety of book reviews. Each review provides an overview of the book, including the themes addressed and the context in which writers presented those concepts. Based on the format and delivery of...
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In the following tutorial, we will understand the multi-threading synchronization with the help of Semaphore in Python. Let us begin with understanding . Understanding the Semaphore A semaphore is a synchronization construct. Semaphore offers threads with synchronized access to a restricted amount of resources. A semaphore can be considered as a...
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In the following tutorial, we will understand how to obfuscate a python program. We will use a Python package known as pyarmor for Obfuscation. We might sometimes come across a scenario where we have to deliver the code directly to a client for certain reasons. However, we...
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The analytics process, from locating sources of information to cleaning and processing data, is demonstrated through data analytics projects. Projects allow you to practice utilizing various business intelligence tools and methodologies if you're looking for your first data management position. The best initiatives examine relationships that...
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NumPy, short for Numerical Python, is one of the fundamental libraries for numerical and scientific computing in Python. One of its most powerful features is the idea of Universal Functions, normally known as "ufuncs." Ufuncs in NumPy permit efficient element-wise operations on arrays, making it a...
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