easychart

Highcharts meets python in your jupyter notebook

Quickstart

Installing easychart is simple with pip:

pip install easychart

Open up a new Jupyter notebook and start creating your charts:

import easychart

chart = easychart.new("column")
chart.title = "France Olympic medals"
chart.subtitle = "by year and by medal class"
chart.yAxis.title.text = "medals"
chart.categories = ["Gold","Silver","Bronze"]
chart.plot([7, 16, 18], name=2008)
chart.plot([11, 11, 13], name=2012)
chart

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Table of contents

• Getting started
  • About Highcharts and easychart
  • Installation
  • Your first chart
  • Serialization
• Examples
  • Column chart
  • Time series
  • Pie chart
  • Scatter chart
  • Bar chart
  • Stacked column chart
  • Stacked bar chart
  • Area range chart
  • Area with missing points
  • Dual axes chart
  • Area range chart (advanced)
  • Stacked area chart
  • Column range chart
  • Inverted spline chart
  • Boxplot chart
  • Spiderweb chart
  • Simple linear regression
  • Inverted column range
  • Stacked and grouped column
  • Logarithmic scale
  • Line with datalabels
  • Bubble chart
  • Heatmap
  • Support for time
  • Sankey charts
  • Dumbbell charts
  • Donut chart
  • Semi-circle chart
  • Variable pie
  • Legend placement
  • Annotations
  • Waterfall
  • Datalabels
  • Violin plot
  • Map chart
• Plotting with Pandas
• Chart dimensions
  • Responsive rendering
• Themes and styling
  • Changing the theme on the fly
  • Changing the default theme
  • Creating a custom theme
• Rendering
  • Modules and extensions
• Colormaps
  • Usage
  • Colormaps
• Integration with Streamlit
• API
  • easychart.new
  • easychart.plot
  • easychart.render
  • easychart.Chart
  • easychart.Plot
  • easychart.Grid
• About
  • Disclaimer
  • Licence

Source

Code is hosted on github