I have the following code;
y = errnums
err_box = Box(
layout = Layout(
fig = Figure(data=Data([err_box]), layout=layout)
plotly.image.save_as(fig, os.path.join(output_images, 'err_box.png'))
Which generates the following image;
What I would like to do is the following two things;
1) Add % next to the y-axis numbers. (Instead of having a traditional y-axis label saying "Error (%)")
2) Label all the vital points: mean, first quartile, third quartile, and stdev. Ideally the label would be a 4 sig-fig ('.2f') number next to the line.
Also, the stdev is the dotted line, and the diamond represents 1 sigma? 2 sigma?
For labels, try annotations. You'll have to compute the quartiles and mean yourself to position the labels.
import plotly.plotly as py from plotly.graph_objs import * data = Data([ Box( y=[0, 1, 1, 2, 3, 5, 8, 13, 21], boxpoints='all', jitter=0.3, pointpos=-1.8 ) ]) layout = Layout( annotations=Annotations([ Annotation( x=0.3, y=8.822, text='3rd Quartile', showarrow=False, font=Font( size=16 ) ) ]) ) fig = Figure(data=data, layout=layout) plot_url = py.plot(fig)
Simple Python boxplot
I recommend adding and positioning the annotations in the Plotly workspace, and then viewing the generated code:
The diamond shows the mean, and +- 1 standard deviation away from it.
It's not currently possible to add a % to the y-axis labels.