How to Add Tooltips to Your Matplotlib Charts

Allowing the user to hover the mouse or click a part of our visualization to get more context is excellent. And tooltips are a perfect way to save space in our chart.

For example, for most scatter plots labelling every point can get tricky. You can color-code them and use a legend, but even that can get messy when there’s too much data.

In this article, we’ll get a look at how to use event handlers and add tooltips to Matplotlib charts.

#python #data-visualization #matplotlib #data-analysis #tooltips

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Matplotlib Tutorial - Bar Charts and reading in CSV Data - (Part 2)

Matplotlib Tutorial - Bar Charts and reading in CSV Data - (Part 2)
Part 2 of our Matplotlib Tutorial Videos Series is out…

In this video, we will learn creating bar charts in matplotlib. We will also learn to put bar charts side-by-side in matplotlib. Also, we will read in a csv file to create bar charts in Matplotlib .

#matplotlib #barcharts #pythonplotting #matplotlibtutorials #matplotlibvideos

#matplotlib #Matplotlib-tutorial-videos #matplotlib-plotting #matplotlib-bar-charts

Visualizing data with NGX-Charts in Angular

Data Science, Data Analytics, Big Data, these are the buzz words of today’s world. A huge amount of data is being generated and analyzed every day. So communicating the insights from that data becomes crucial. Charts help visualize the data and communicate the result of the analysis with charts, it becomes easy to understand the data.

There are a lot of libraries for angular that can be used to build charts. In this blog, we will look at one such library, NGX-Charts. We will see how to use it in angular and how to build data visualizations.

What we will cover:

1. Installing ngx-chart.

2. Building a vertical bar graph.

3. Building a pie chart.

4. Building an advanced pie chart.

A brief introduction about NGX-Charts

NGX-Chart charting framework for angular2+. It’s open-source and maintained by Swimlane.

NGX-Charts does not merely wrap d3, nor any other chart engine for that matter. It is using Angular to render and animate the SVG elements with all of its binding and speed goodness and uses d3 for the excellent math functions, scales, axis and shape generators, etc. By having Angular do all of the renderings it opens us up to endless possibilities the Angular platform provides such as AoT, Universal, etc.

NGX-Charts supports various chart types like bar charts, line charts, area charts, pie charts, bubble charts, doughnut charts, gauge charts, heatmap, treemap, and number cards.

Installation and Setup

1. Install the ngx-chart package in your angular app.

npm install @swimlane/ngx-charts --save

2. At the time of installing or when you serve your application is you get an error:

ERROR in The target entry-point "@swimlane/ngx-charts" has missing dependencies: - @angular/cdk/portal

You also need to install angular/cdk

npm install @angular/cdk --save

3. Import NgxChartsModule from ‘ngx-charts’ in AppModule

4. NgxChartModule also requires BrowserAnimationModule. Import is inAppModule.

app.module.ts

import { BrowserModule } from '@angular/platform-browser';
import { NgModule } from '@angular/core';
import { AppComponent } from './app.component';
import { NgxChartsModule }from '@swimlane/ngx-charts';
import { BrowserAnimationsModule } from '@angular/platform-browser/animations';
@NgModule({
  declarations: [
    AppComponent
  ],
  imports: [
    BrowserModule,
    BrowserAnimationsModule,
    NgxChartsModule
  ],
  providers: [],
  bootstrap: [AppComponent]
})
export class AppModule { }

Amazing! Now we can start using ngx-chart component and build the graph we want.

In the AppComponent we will provide data that the chart will represent. It’s a sample data for vehicles on the road survey.

#angular #angular 6 #scala #angular #angular 9 #bar chart #charting #charts #d3 charts #data visualisation #ngx #ngx charts #pie

How to Add Tooltips to Your Matplotlib Charts

Allowing the user to hover the mouse or click a part of our visualization to get more context is excellent. And tooltips are a perfect way to save space in our chart.

For example, for most scatter plots labelling every point can get tricky. You can color-code them and use a legend, but even that can get messy when there’s too much data.

In this article, we’ll get a look at how to use event handlers and add tooltips to Matplotlib charts.

#python #data-visualization #matplotlib #data-analysis #tooltips

Top 10 Best React Chart Component for App

React chart is a graphical representation of data, in which “the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart”. Using the right type of chart is one decision to make when presenting data but as React developers, we have our own set of concerns, mainly, choosing the right chart component library.

Here are the 10 best react charts component I’ve picked. You can view and apply to your application.

1. Rough Charts

A responsive, composable react charting library with a hand-drawn style.

Features

• It’s responsive.
• It’s flexible and easy to compose. You can compose all available ChartSeries Components and render any shapes you like.
• It’s lovely.
• It’s written in TypeScript.

View Demo: https://beizhedenglong.github.io/rough-charts/?path=/docs/roughcharts–page

Github: https://github.com/beizhedenglong/rough-charts

Download Link: https://github.com/beizhedenglong/rough-charts/archive/master.zip

2. Channel Grapher

This is a responsive ThingSpeak API grapher. It uses a JSON router to overcome CORS.

Built using ReactJS, Bootstrap and ChartJS.

View Demo: https://opens3.net/channel-grapher.html

Github: https://github.com/wilyarti/channel-grapher

Download Link: https://github.com/wilyarti/channel-grapher/archive/master.zip

3. react-charts

Simple, immersive and interactive charts for React.

Features

• Line, Bar, Bubble, & Area Charts
• Hyper Responsive
• Powered by D3
• Fully Declarative
• Flexible data model

View Demo: https://react-charts.js.org/examples/line

Github: https://github.com/tannerlinsley/react-charts

Download Link: https://github.com/tannerlinsley/react-charts/archive/master.zip

4. react-charts-and-maps

This project contains the implementation of libraries D3, highcharts and react-google-maps with the ReactJS. It shows how easy is adding those libraries in ReactJS.

View Demo: https://marekdano.github.io/react-charts-and-maps/

Github: https://github.com/marekdano/react-charts-and-maps

Download Link: https://github.com/marekdano/react-charts-and-maps/archive/master.zip

5. STORM React Diagrams

React Diagrams is currently getting a bit of a rewrite to enable much more advanced features.

View Demo: http://projectstorm.cloud/react-diagrams/?path=/story/simple-usage–simple-flow-example

Github: https://github.com/projectstorm/react-diagrams

Download Link: https://github.com/projectstorm/react-diagrams/archive/master.zip

6. React-d3-graph

Interactive and configurable graphs with react and d3 effortlessly.

View Demo: https://goodguydaniel.com/react-d3-graph/sandbox/index.html

Github: https://github.com/jcapobianco-cbi/react-d3-graph-cbi

Download Link: https://github.com/jcapobianco-cbi/react-d3-graph-cbi/archive/master.zip

7. React-VizGrammar

React VizGrammar is a wrapper around Victory JS and it makes charting easier by adding boilerplate code so that designers and developers can get started and set it up in a few minutes.

A chart can be embedded in a React environment simply by using the VizG react component.

View Demo: https://wso2.github.io/react-vizgrammar/#/

Github: https://github.com/wso2/react-vizgrammar

Download Link: https://github.com/wso2/react-vizgrammar/archive/master.zip

8. preact-charts

preact based charting library. Written with d3-maths, and TypeScript!

View Demo: https://codesandbox.io/s/ko300qzppv

Github: http://github.com/pmkroeker/preact-charts

Download Link: https://github.com/pmkroeker/preact-charts/archive/master.zip

9. REAVIZ

REAVIZ is a modular chart component library that leverages React natively for rendering the components while using D3js under the hood for calculations. The library provides an easy way to get started creating charts without sacrificing customization ability.

View Demo: https://reaviz.io/?path=/docs/docs-intro–page

Github: https://github.com/jask-oss/reaviz

Download Link: https://github.com/jask-oss/reaviz/archive/master.zip

10. React Signals Plot

This is React Signals Plot component for geophysical data visualization.

The component supports ‘on the fly’ data compression. That’s why you can use it for drawing line charts which contain millions of points. ReactSignalsPlot is an interactive component. You can use a mouse or touch to move and zoom.

View Demo: https://gromtech.github.io/react-signals-plot/

Github: https://github.com/gromtech/react-signals-plot

Download Link: https://github.com/gromtech/react-signals-plot/archive/develop.zip

#react #react-chart #react-chart-component #chart #chart-component

Blazor Charts Component | Interactive Live Charts | Syncfusion

Blazor Charts is a well-crafted charting component to visualize data. It contains a rich UI gallery of 30+ charts and graphs, ranging from line to financial that cater to all charting scenarios. Its high performance helps render large amounts of data quickly. It also comes with features such as zooming, panning, tooltip, crosshair, trackball, highlight, and selection.

• 30+ Chart types
• Fast paced performance
• Elegant animation
• Simple configuration and API
• Support all modern browsers
• Mobile-touch friendly and responsive
  https://www.syncfusion.com/blazor-components/blazor-charts

#charts #blazor #best #interactive charts #chart types