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Articles on Trending Technologies
Technical articles with clear explanations and examples
How can grid plot in Bokeh library be created with Python?
Bokeh is a powerful Python library for creating interactive data visualizations that render in web browsers. It converts data into JSON format and uses BokehJS (written in TypeScript) to create interactive plots using HTML and JavaScript. Installation Install Bokeh using pip or conda ? pip install bokeh Or using Anaconda ? conda install bokeh Creating a Grid Plot with Image A grid plot displays data as a 2D image with customizable grid lines. Here's how to create one using mathematical functions ? import numpy as np from ...
Read MoreHow can Bokeh library be used to visualize twin axes in Python?
Bokeh is a Python package that helps in data visualization. It is an open source project. Bokeh renders its plot using HTML and JavaScript. This indicates that it is useful while working with web-based dashboards. Matplotlib and Seaborn produce static plots, whereas Bokeh produces interactive plots. This means when the user interacts with these plots, they change accordingly. Plots can be embedded as output of Flask or Django enabled web applications. Jupyter notebook can also be used to render these plots. Installation Installation of Bokeh on Windows command prompt: pip3 install bokeh ...
Read MoreCheck if given four integers (or sides) make rectangle in Python
A rectangle is a quadrilateral with four right angles and two pairs of opposite sides that are equal in length. Given four integers representing sides, we need to check if they can form a rectangle. So, if the input is like sides = [10, 30, 30, 10], then the output will be True as there are two pairs of equal sides (10, 10) and (30, 30). Algorithm To solve this, we will follow these steps − If all four sides are equal, then it's a square (which is also a rectangle), ...
Read MoreCheck if given array is almost sorted (elements are at-most one position away) in Python
Suppose we have an array of numbers where all elements are unique. We need to check whether the array is almost sorted or not. An array is almost sorted when any of its elements can occur at a maximum of 1 distance away from its original position in the sorted array. For example, if we have nums = [10, 30, 20, 40], the output will be True because 10 is at its correct position and all other elements are at most one place away from their actual sorted position. Algorithm To solve this problem, we follow these ...
Read MoreHow can Bokeh be used to visualize multiple bar plots in Python?
Bokeh is a powerful Python data visualization library that creates interactive plots for web browsers. It converts Python data into JSON format and uses BokehJS (a JavaScript library) to render visualizations. This makes Bokeh particularly useful for creating multiple bar plots that can be displayed in web applications. Installation Install Bokeh using pip or conda ? pip install bokeh Or using Anaconda ? conda install bokeh Creating Multiple Bar Plots To create multiple bar plots side by side, we use the dodge() transform function. This function shifts bars horizontally ...
Read MoreHow can Bokeh be used to visualize multiple shapes on a plot in Python?
Bokeh is a Python package that helps in data visualization. It is an open source project. Bokeh renders its plots using HTML and JavaScript, making it ideal for creating interactive web-based dashboards. Unlike Matplotlib and Seaborn that produce static plots, Bokeh creates interactive visualizations that respond to user interactions. Bokeh converts data into JSON format, which is then processed by BokehJS (a JavaScript library written in TypeScript) to render visualizations in modern browsers. Installation Install Bokeh using pip or conda ? pip install bokeh Or using conda ? conda install bokeh Creating Multiple Shapes on a Plot Bokeh ...
Read MoreCheck if frequency of each digit is less than the digit in Python
When working with digit frequency validation, we often need to check whether each digit in a number appears no more times than its own value. For example, digit 5 can appear at most 5 times, digit 3 can appear at most 3 times, and so on. So, if the input is like n = 5162569, then the output will be True as the digits and frequencies are (5, 2), (1, 1), (6, 2), (2, 1) and (9, 1). For all digits, the frequency is less than or equal to the digit value. Algorithm To solve this problem, ...
Read MoreHow can Bokeh library be used to plot horizontal bar plots using Python?
Bokeh is a Python package that helps in data visualization. It is an open source project that renders plots using HTML and JavaScript, making it useful for web-based dashboards and interactive visualizations. Visualizing data is an important step since it helps understand patterns in the data without performing complicated computations. Unlike Matplotlib and Seaborn which produce static plots, Bokeh creates interactive plots that respond to user interactions. Bokeh can be easily used in conjunction with NumPy, Pandas, and other Python packages to produce interactive plots and dashboards. It converts data into JSON format, which is then processed by ...
Read MoreHow can Bokeh library be used to visualize stacked bar charts in Python?
Bokeh is a Python package that helps in data visualization. It is an open source project that renders plots using HTML and JavaScript, making it particularly useful for web-based dashboards and interactive visualizations. Unlike Matplotlib and Seaborn which produce static plots, Bokeh creates interactive plots that respond to user interactions. The library converts data into JSON format and uses BokehJS (a TypeScript-based JavaScript library) to render visualizations in modern browsers. Installation You can install Bokeh using pip or conda ? pip install bokeh Or using Anaconda ? conda install bokeh ...
Read MoreHow can Bokeh library be used to generate line graphs in Python?
Bokeh is a Python package that helps in data visualization. It is an open source project. Bokeh renders its plots using HTML and JavaScript. This indicates that it is useful while working with web−based dashboards. Visualizing data is an important step since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations. Bokeh can be easily used in conjunction with NumPy, Pandas, and other Python packages. It can be used to produce interactive plots, dashboards, and so on. It helps in communicating the quantitative insights to the audience ...
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