avoid scientific notation on log axis

rowers/interactiveplots.py

@@ -29,7 +29,9 @@ from bokeh.layouts import layout,widgetbox
 from bokeh.palettes import Category20c,Category10
 from bokeh.layouts import row as layoutrow
 from bokeh.layouts import column as layoutcolumn
-from bokeh.models import LinearAxis,LogAxis,Range1d,DatetimeTickFormatter,HoverTool
+from bokeh.models import (
+    LinearAxis,LogAxis,Range1d,DatetimeTickFormatter,HoverTool,Axis,PrintfTickFormatter
+    )
 #from bokeh.io import output_file, show, vplot
 from bokeh.models import (
     GMapPlot, GMapOptions, ColumnDataSource, Circle,
@@ -2960,6 +2962,8 @@ def interactive_otwcpchart(powerdf,promember=0,rowername="",r=None,cpfit='data',
     plot.extra_y_ranges = {"watermark": watermarkrange}
     plot.sizing_mode = 'scale_width'
 
+
+
     plot.image_url([watermarkurl],1.8*max(thesecs),watermarky,
                    watermarkw,watermarkh,
                    global_alpha=watermarkalpha,
@@ -2982,6 +2986,10 @@ def interactive_otwcpchart(powerdf,promember=0,rowername="",r=None,cpfit='data',
         title = "Critical Power for "+rowername
     plot.title.text = title
 
+    xaxis = plot.select(dict(type=Axis, layout="below"))[0]
+    xaxis.formatter = PrintfTickFormatter(format="%5f")
+    #xaxis.formatter.use_scientific = False
+
     hover = plot.select(dict(type=HoverTool))
 
     hover.tooltips = OrderedDict([