I put this on stackoverflow, but didn’t get much love so putting it here: http://stackoverflow.com/questions/38821132/bokeh-valueerror-out-of-range-float-values-are-not-json-compliant
I came across this discussion (from a year ago): https://github.com/bokeh/bokeh/issues/2392
I also saw the white screen without any errors…and then i tried to take a small subset of 2 columns and tried the below:
Since pandas just gets a bunch of rows with empty data in there as well, I tried dropna… this resulted in there being no data at all. So instead I just specified the rows that should go into the df (hence the
df = df.head(n=19) line)
import pandas as pd from bokeh.plotting import figure, output_file, show df = pd.read_excel(path,sheetname,parse_cols="A:B") df = df.head(n=19) print(df) rtngs = ['iAAA','iAA+','iAA','iAA-','iA+','iA','iA-','iBBB+','iBBB','iBBB-','iBB+','iBB','iBB-','iB+','iB','iB-','NR','iCCC+'] x= df['Score'] output_file("line.html") p = figure(plot_width=400, plot_height=400, x_range=(0,100),y_range=rtngs) # add a circle renderer with a size, color, and alpha p.circle(df['Score'], df['Rating'], size=20, color="navy", alpha=0.5) # show the results #output_notebook() show(p)
Rating Score 0 iAAA 64.0 1 iAA+ 33.0 2 iAA 7.0 3 iAA- 28.0 4 iA+ 36.0 5 iA 62.0 6 iA- 99.0 7 iBBB+ 10.0 8 iBBB 93.0 9 iBBB- 91.0 10 iBB+ 79.0 11 iBB 19.0 12 iBB- 95.0 13 iB+ 26.0 14 iB 9.0 15 iB- 26.0 16 NR 49.0 17 iCCC+ 51.0 18 iAAA 18.0
The above is showing me an output within the notebook, but still throws :
ValueError: Out of range float values are not JSON compliant
And also it doesn’t (hence?) produce the output file as well. How do I get rid of this error for this small subset? Is it related to NaN values? Would that also solve the ‘white screen of death’ issue for the larger dataset?
Thanks vm for taking a look!