Hello.
Here is my code:
x_range = (0, len(df))
y_range = (df[‘EuPrice’].min(), df[‘EuPrice’].max())
def create_image(x_range, y_range, w, h):
cvs = ds.Canvas(plot_width=w, plot_height=w//1.2)
agg = cvs.line(df, ‘fakedata’, ‘EuPrice’,ds.count(‘fakedata’))
img = tf.shade(agg)
return img
def base_plot(tools=‘pan,wheel_zoom,box_zoom,resize,reset’):
p = bp.figure(tools=tools, plot_width=600, plot_height=300,
x_range=x_range, y_range=y_range, outline_line_color=None,
min_border=0, min_border_left=0, min_border_right=0,
min_border_top=0, min_border_bottom=0)
p.xgrid.grid_line_color = None
p.ygrid.grid_line_color = None
return p
p = base_plot()
InteractiveImage(p, create_image)
Problem is that it loads the plot from datashader into bokeh plot interface. But when I zoom the image, only axis values change, but the plot image returns to the same point when I try to zoom the data. Zooms in a bit but then back to full stack of data view.
[Needless to say I am quite new in learning these libraries]
