A feature-incomplete Jupyter widget for the incredible uPlot charting library.
This library is really new, don't expect too much but feel free to send pull requests.
$ pip install git+https://github.com/sohailsomani/uplot_jupyter_widget
You may also need to do the following:
$ jupyter nbextension install --py --symlink --sys-prefix jp_proxy_widget
$ jupyter nbextension enable --py --sys-prefix jp_proxy_widget
The following example is taken straight from the documentation. Note that if you
wish to evaluate any JS, prefix a string with __js_eval: as shown below.
from soso.uplot_jupyter_widget import uPlotWidget
data = [
[1546300800, 1546387200], # x-values (timestamps)
[ 35, 71], # y-values (series 1)
[ 90, 15], # y-values (series 2)
]
opts = {
'title': "My Chart",
'id': "chart1",
'class': "my-chart",
'width': 800,
'height': 600,
'series': [
{},
{
# initial toggled state (optional)
'show': True,
'spanGaps': False,
# in-legend display
'label': "RAM",
'value': '__js_eval:(self, rawValue) => "$" + rawValue.toFixed(2)',
# series style
'stroke': "red",
'width': 1,
'fill': "rgba(255, 0, 0, 0.3)",
'dash': [10, 5],
}
],
}
plot = uPlotWidget(
data=data,
opts=opts,
js="https://raw.githubusercontent.com/leeoniya/uPlot/1.6.4/dist/uPlot.iife.min.js",
css="https://raw.githubusercontent.com/leeoniya/uPlot/1.6.4/dist/uPlot.min.css"
)
display(plot)Results in the following:
- It supposedly works
It didn't exist
Use of the excellent jp_proxy_widget library.
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