CODEWITHSUNDEEP
python-3.xbokeh
Sam Lilienfeld
Sam Lilienfeld

Reputation: 515

Bokeh: Control colors on Donut chart

I am using Bokeh to create a series of pie charts with bokeh.charts.Donut. The charts are based off of subsets of the same DataFrame, and all have the same category labels. I want to ensure that the same categories are displayed in the same colors across the various charts, but I haven't been able to figure out a consistent way of controlling the colors.

Currently I am sorting my input DataFrames by the label, and passing the same array of colors to the palette property of Donut. This still does not work as intended. Code is as follows:

main_colors = ['#10A400','#DB5E11','#C8C500','#CF102E','#00AFA8','#82BC00','#A40D7A','#FF7100','#1349BB']


#split out youth health problems
for_youth_health = detailed_assessment_safety.loc[detailed_assessment_safety.youth_health_prob.notnull()]
youth_health_issues = pd.DataFrame(for_youth_health.youth_health_prob.str.split(' ').tolist())

for col in youth_health_issues.columns:
    newcol = 'youth_health_prob_' + str(col)
    youth_health_issues = youth_health_issues.rename(columns={col:newcol})

youth_health_trans = pd.melt(youth_health_issues)
youth_health_trans = youth_health_trans.loc[youth_health_trans.value.notnull()]

youth_health_trans['issue_text'] = youth_health_trans.value.map(map_health_issues)
youth_health_trans.drop('value',axis=1,inplace=True)
youth_health_trans.sort_values(by='issue_text',ascending=True,inplace=True)

#pie of youth health issues

youth_health_issues = Donut(youth_health_trans,label='issue_text',
                           values='variable',agg='count',plot_width=plot_width,
                           plot_height=plot_height,title='Reported Youth Health Issues',
                           color=main_colors)

hover = HoverTool(point_policy='follow_mouse')
hover.tooltips = [('Number Reported','@values'),('Health Issue','@issue_text')]
youth_health_issues.add_tools(hover)

#split out adult health problems
for_adult_health = detailed_assessment_safety.loc[detailed_assessment_safety.adult_health_prob.notnull()]
adult_health_issues = pd.DataFrame(for_adult_health.adult_health_prob.str.split(' ').tolist())

for col in adult_health_issues.columns:
    newcol = 'adult_health_prob_' + str(col)
    adult_health_issues = adult_health_issues.rename(columns={col:newcol})

adult_health_trans = pd.melt(adult_health_issues)
adult_health_trans = adult_health_trans.loc[adult_health_trans.value.notnull()]

adult_health_trans['issue_text'] = adult_health_trans.value.map(map_health_issues)
adult_health_trans.drop('value',axis=1,inplace=True)
adult_health_trans.sort_values(by='issue_text',ascending=True,inplace=True)

#pie of adult health issues

adult_health_issues = Donut(adult_health_trans,label='issue_text',
                           values='variable',agg='count',plot_width=plot_width,
                           plot_height=plot_height,title='Reported Adult Health Issues',
                           palette=main_colors)

hover = HoverTool(point_policy='follow_mouse')
hover.tooltips = [('Number Reported','@values'),('Health Issue','@issue_text')]
adult_health_issues.add_tools(hover)

What's the proper way to map the same categories of Donut charts to colors across multiple charts? The other idea that I had was inserting a column into the DataFrame that mapped label values to colors, and then passing that column as an argument to Donut, but I couldn't make that work either. Any help is much appreciated.

Upvotes: 0

Views: 689

Answers (1)

Sam Lilienfeld
Sam Lilienfeld

Reputation: 515

After some experimentation, it turns out that when you pass an array of colors to the palette argument of Donut, the colors are associated with the donut slices based on an alphabetical sort of the slice name. So, the first color in your array of palette colors will be associated with the slice with the alphabetically first name, etc.

Upvotes: 1

Related Questions