bokeh-plot 0.1.7

Matlab-inspired call syntax for bokeh plots

bokeh-plot

Installation:

pip install bokeh-plot

Usage:

To load this extension in jupyter notebook:

%load_ext bokeh_plot

The following syntax is supported:

plot([1,4,9])             # x is automatic 
plot([1,4,9], '.-')       # line and dots 
plot([1,2,3], [1,4,9])    # x and y 
plot([1,2,3], [1,4,9], '.-')    # x, y and line style

Several plots in one figure:

Interactive controls:

click and drag = pan
mouse wheel = zoom, 
wheel on x axis = scroll horizontally
wheel on y axis = scroll vertically

Multiple plot syntax:

x = [1,5,10]
y1 = [1,4,9]
y2 = [1,8,27]

- plot(x, y1, '.-')        # solid line with dots
  plot(x, y2, '.-g')       # the second plot is green

- plot([y1, y2])           # auto x, auto colors       

- plot(x, [y1, y2])

- plot([y1, y2], '.-bg')   # blue and green

- plot([y1, y2], style=['.', '.-'], color=['b', 'g'])

- plot(x, y1, '.-', x, y2, '.-g')

The following markers are supported so far:

'.' dots
'-' line
'.-' dots+line

The following colors are supported so far:

'b' blue
'g' green
'r' red
'o' orange

NB The color specifier must go after the marker if both are present.

Legend:

- plot([1,2,3], [1,4,9], legend='plot1')
  plot([1,2,3], [2,5,10], legend='plot2')

- plot([y1, y2], legend=['y1', 'y2'])

Legend location:

- plot([1,2,3], [1,4,9], legend='plot1', legend_loc='top_left')
  plot([1,2,3], [2,5,10], legend='plot2')

Other legend locations: https://docs.bokeh.org/en/latest/docs/user_guide/styling.html#location

Other uses:

semilogx(), semilogy() and loglog() show (semi)logarithmic plots with the same syntax as plot().

plot(x, y, hover=True) displays point coordinates on mouse hover.

imshow(a) displays an array as an image:

(see also contour plot example in a bokeh gallery page)