Hovertool does not handle spaces or parentheses in column names

I’m using bokeh.plotting with the circle glyph renderer and noticed that HoverTool does not seem to handle column names that parentheses or spaces well.

An example from iPython Notebook below:

fake_data = {'ID': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 
             'Total': [0.0, 20.0, 0.0, 6.0, 8.0, 0.0, 8.0, 5.0, 8.0, 1.0, 2.0],
             'Column With Spaces': ['a', 'b', 'c','d', 'e', 'f', 'g', 'h', 'i', 'j', 'k'],
             'Column_Without_Spaces': ['a', 'b', 'c','d', 'e', 'f', 'g', 'h', 'i', 'j', 'k'],
             'Column_With_Parenthese(s)': ['a', 'b', 'c','d', 'e', 'f', 'g', 'h', 'i', 'j', 'k'],
             'Column_Without_Parentheses': ['a', 'b', 'c','d', 'e', 'f', 'g', 'h', 'i', 'j', 'k']
            }

df = pd.DataFrame(fake_data)
source = ColumnDataSource(data=df)

hover = HoverTool(
    tooltips = [
                ('ID', '@ID'),
                ('Total', '@Total'),
                ('Column With Spaces', '@Column With Spaces'),
                ('Column_Without_Spaces', '@Column_Without_Spaces'),
                ('Column_With_Parenthese(s)', '@Column_With_Parenthese(s)'),
                ('Column_Without_Parentheses', '@Column_Without_Parentheses')
        ]
)

p = figure(plot_width=400, plot_height=400, title=None, tools=[hover])
p.circle('ID', 'Total', size=10, source=source)

output_notebook()
show(p)

The issues as I see them:

• HoverTool does not flag that column names with parentheses or spaces are problematic
• A fair amount of real data may have spaces or parentheses in column names (including ones I analyze at work), and it would be preferable to Bokeh being able to handle these naturally rather than for me to rename all the offending columns.
• I have not exhaustively investigated what other symbols may raise this issue, so there could be many other instances of HoverTool not displaying them.

[asukul]

@carlshan @moorepants
Bokeh tooltips doesn’t work with space or - in column name after @

fix it by copy ‘column-a’ or ‘column a’ to ‘columna’ by df[‘column-a’] = df[‘columna’]

or you can replace your column with space or - by

df_column = [] for c in data.columns: df_column.append(c.replace(’ ', ‘_’))

data.columns = df_column

[moorepants]

I’m not able to get "@{Column Name}" to work. Has this changed?