Simple jupyter widget wrappers for Chart.js chart types.
doughnut_chart = doughnut.Doughnut()
doughnut_chart.set_title("Chocolate Frosted")
doughnut_chart.add("Big:, 10, "brown")
doughnut_chart.add("Medium", 7, "pink")
doughnut_chart.add("Small", 3, "purple")
doughnut_chart.setup()
doughnut_chart
Please clone to your local location and do the following:
pip install -e .
If you don't want to clone the zip file, you can do
pip install -e git+https://github.com/AaronWatters/Chart_ipynb.git
Chart_ipynb makes it easier to present data interactively on Jupyter. Some basic charts are introduced in quick reference.
| Charts | |
|---|---|
| Line Chart |  |
| Bar Chart |  |
| Scatter Chart |  |
| Pie Chart |  |
| ... |
Chart_ipynb provides an additional function to initialize line chart and bar chart specifically for time series data. Users can either use their own data as input or use inner data by specifying ticker symbol of company to obtain the data from data websites (quandl by default).
The example can be found here.
The example presents the tendency of Covid-19 cases and deaths based on states.
