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Bokeh stack chart legend incorrect
How to put the legend out of the plotstacked Bar charts in BokehMoving a stacked bar that that worked in Bokeh 0.9 to Bokeh 0.11Setting Legend on multiple columns with Bokeh ChartsBokeh - Stacked and grouped chartsBokeh 100% Stacked Bar ChartCreate stacked bar chart using bokeh in pythonBokeh 12.0.15- stacked grouped barsBokeh Horizontal Stacked Bar ChartInclude Bokeh Tooltips in stacked bar chart
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
i have a dataframe
df = pd.DataFrame('Category': ['<£5000', '£100K to £250K'],
'01/01/2014': [8,1],
'01/01/2015': [8,2],
'01/01/2016': [7,1])
I am creating a stacked chart in Bokeh. Creating the chart is fine, but the legend is incorrect.
grouped = df.groupby('Category')['01/01/2014', '01/01/2015', '01/01/2016'].mean().round(0)
source = ColumnDataSource(grouped)
countries = source.data['Category'].tolist()
p = figure(x_range=countries)
p.vbar_stack(stackers=['01/01/2014', '01/01/2015', '01/01/2016'],
x='Category', source=source,
legend = ['01/01/2014', '01/01/2015', '01/01/2016'],
width=0.5, color=Spectral3)
p.title.text ='Average Number of Trades by Portfolio Size'
p.legend.location = 'top_right'
p.xaxis.axis_label = 'Portfolio Size'
p.xgrid.grid_line_color = None #remove the x grid lines
p.yaxis.axis_label = 'Average Number of Trades'
show(p)
I think above in the line below, i have set the legend to the years. However as in the image, it has set to three points in the graph.
legend = ['01/01/2014', '01/01/2015', '01/01/2016']
python bokeh stacked-chart
asked Mar 27 at 13:56
ben121ben121
3671 silver badge13 bronze badges
add a comment |
i have a dataframe
df = pd.DataFrame('Category': ['<£5000', '£100K to £250K'],
'01/01/2014': [8,1],
'01/01/2015': [8,2],
'01/01/2016': [7,1])
I am creating a stacked chart in Bokeh. Creating the chart is fine, but the legend is incorrect.
grouped = df.groupby('Category')['01/01/2014', '01/01/2015', '01/01/2016'].mean().round(0)
source = ColumnDataSource(grouped)
countries = source.data['Category'].tolist()
p = figure(x_range=countries)
p.vbar_stack(stackers=['01/01/2014', '01/01/2015', '01/01/2016'],
x='Category', source=source,
legend = ['01/01/2014', '01/01/2015', '01/01/2016'],
width=0.5, color=Spectral3)
p.title.text ='Average Number of Trades by Portfolio Size'
p.legend.location = 'top_right'
p.xaxis.axis_label = 'Portfolio Size'
p.xgrid.grid_line_color = None #remove the x grid lines
p.yaxis.axis_label = 'Average Number of Trades'
show(p)
I think above in the line below, i have set the legend to the years. However as in the image, it has set to three points in the graph.
legend = ['01/01/2014', '01/01/2015', '01/01/2016']
python bokeh stacked-chart
asked Mar 27 at 13:56
ben121ben121
3671 silver badge13 bronze badges
add a comment |
i have a dataframe
df = pd.DataFrame('Category': ['<£5000', '£100K to £250K'],
'01/01/2014': [8,1],
'01/01/2015': [8,2],
'01/01/2016': [7,1])
I am creating a stacked chart in Bokeh. Creating the chart is fine, but the legend is incorrect.
grouped = df.groupby('Category')['01/01/2014', '01/01/2015', '01/01/2016'].mean().round(0)
source = ColumnDataSource(grouped)
countries = source.data['Category'].tolist()
p = figure(x_range=countries)
p.vbar_stack(stackers=['01/01/2014', '01/01/2015', '01/01/2016'],
x='Category', source=source,
legend = ['01/01/2014', '01/01/2015', '01/01/2016'],
width=0.5, color=Spectral3)
p.title.text ='Average Number of Trades by Portfolio Size'
p.legend.location = 'top_right'
p.xaxis.axis_label = 'Portfolio Size'
p.xgrid.grid_line_color = None #remove the x grid lines
p.yaxis.axis_label = 'Average Number of Trades'
show(p)
I think above in the line below, i have set the legend to the years. However as in the image, it has set to three points in the graph.
legend = ['01/01/2014', '01/01/2015', '01/01/2016']
python bokeh stacked-chart
asked Mar 27 at 13:56
ben121ben121
3671 silver badge13 bronze badges
i have a dataframe
df = pd.DataFrame('Category': ['<£5000', '£100K to £250K'],
'01/01/2014': [8,1],
'01/01/2015': [8,2],
'01/01/2016': [7,1])
I am creating a stacked chart in Bokeh. Creating the chart is fine, but the legend is incorrect.
grouped = df.groupby('Category')['01/01/2014', '01/01/2015', '01/01/2016'].mean().round(0)
source = ColumnDataSource(grouped)
countries = source.data['Category'].tolist()
p = figure(x_range=countries)
p.vbar_stack(stackers=['01/01/2014', '01/01/2015', '01/01/2016'],
x='Category', source=source,
legend = ['01/01/2014', '01/01/2015', '01/01/2016'],
width=0.5, color=Spectral3)
p.title.text ='Average Number of Trades by Portfolio Size'
p.legend.location = 'top_right'
p.xaxis.axis_label = 'Portfolio Size'
p.xgrid.grid_line_color = None #remove the x grid lines
p.yaxis.axis_label = 'Average Number of Trades'
show(p)
I think above in the line below, i have set the legend to the years. However as in the image, it has set to three points in the graph.
legend = ['01/01/2014', '01/01/2015', '01/01/2016']
python bokeh stacked-chart
python bokeh stacked-chart
asked Mar 27 at 13:56
ben121ben121
3671 silver badge13 bronze badges
asked Mar 27 at 13:56
ben121ben121
3671 silver badge13 bronze badges
asked Mar 27 at 13:56
ben121ben121
3671 silver badge13 bronze badges
asked Mar 27 at 13:56
ben121ben121
3671 silver badge13 bronze badges
asked Mar 27 at 13:56
ben121ben121
3671 silver badge13 bronze badges
3671 silver badge13 bronze badges
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
It does show the right legend names if you put something else in the legend list, as long as it doesn't match the dates in your ColumnDataSource. So a simple fix for your problem is to add a space behind each date in the legend list.
import pandas as pd
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure, show
from bokeh.palettes import Spectral3
df = pd.DataFrame('Category': ['<£5000', '£100K to £250K'],
'01/01/2014': [8,1],
'01/01/2015': [8,2],
'01/01/2016': [7,1])
grouped = df.groupby('Category')['01/01/2014', '01/01/2015', '01/01/2016'].mean().round(0)
source = ColumnDataSource(grouped)
countries = source.data['Category'].tolist()
p = figure(x_range=countries)
p.vbar_stack(stackers=['01/01/2014', '01/01/2015', '01/01/2016'],
x='Category', source=source,
legend = ['01/01/2014 ', '01/01/2015 ', '01/01/2016 '],
width=0.5, color=Spectral3)
p.title.text ='Average Number of Trades by Portfolio Size'
p.legend.location = 'top_right'
p.xaxis.axis_label = 'Portfolio Size'
p.xgrid.grid_line_color = None #remove the x grid lines
p.yaxis.axis_label = 'Average Number of Trades'
show(p)
answered Mar 27 at 14:47
JasperJasper
1,1561 gold badge5 silver badges14 bronze badges
thanks very much. was driving me crazy.
– ben121
Mar 27 at 20:30
add a comment |
Your Answer
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1 Answer
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active
oldest
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1 Answer
1
active
oldest
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active
oldest
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active
oldest
votes
It does show the right legend names if you put something else in the legend list, as long as it doesn't match the dates in your ColumnDataSource. So a simple fix for your problem is to add a space behind each date in the legend list.
import pandas as pd
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure, show
from bokeh.palettes import Spectral3
df = pd.DataFrame('Category': ['<£5000', '£100K to £250K'],
'01/01/2014': [8,1],
'01/01/2015': [8,2],
'01/01/2016': [7,1])
grouped = df.groupby('Category')['01/01/2014', '01/01/2015', '01/01/2016'].mean().round(0)
source = ColumnDataSource(grouped)
countries = source.data['Category'].tolist()
p = figure(x_range=countries)
p.vbar_stack(stackers=['01/01/2014', '01/01/2015', '01/01/2016'],
x='Category', source=source,
legend = ['01/01/2014 ', '01/01/2015 ', '01/01/2016 '],
width=0.5, color=Spectral3)
p.title.text ='Average Number of Trades by Portfolio Size'
p.legend.location = 'top_right'
p.xaxis.axis_label = 'Portfolio Size'
p.xgrid.grid_line_color = None #remove the x grid lines
p.yaxis.axis_label = 'Average Number of Trades'
show(p)
answered Mar 27 at 14:47
JasperJasper
1,1561 gold badge5 silver badges14 bronze badges
thanks very much. was driving me crazy.
– ben121
Mar 27 at 20:30
add a comment |
It does show the right legend names if you put something else in the legend list, as long as it doesn't match the dates in your ColumnDataSource. So a simple fix for your problem is to add a space behind each date in the legend list.
import pandas as pd
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure, show
from bokeh.palettes import Spectral3
df = pd.DataFrame('Category': ['<£5000', '£100K to £250K'],
'01/01/2014': [8,1],
'01/01/2015': [8,2],
'01/01/2016': [7,1])
grouped = df.groupby('Category')['01/01/2014', '01/01/2015', '01/01/2016'].mean().round(0)
source = ColumnDataSource(grouped)
countries = source.data['Category'].tolist()
p = figure(x_range=countries)
p.vbar_stack(stackers=['01/01/2014', '01/01/2015', '01/01/2016'],
x='Category', source=source,
legend = ['01/01/2014 ', '01/01/2015 ', '01/01/2016 '],
width=0.5, color=Spectral3)
p.title.text ='Average Number of Trades by Portfolio Size'
p.legend.location = 'top_right'
p.xaxis.axis_label = 'Portfolio Size'
p.xgrid.grid_line_color = None #remove the x grid lines
p.yaxis.axis_label = 'Average Number of Trades'
show(p)
answered Mar 27 at 14:47
JasperJasper
1,1561 gold badge5 silver badges14 bronze badges
thanks very much. was driving me crazy.
– ben121
Mar 27 at 20:30
add a comment |
It does show the right legend names if you put something else in the legend list, as long as it doesn't match the dates in your ColumnDataSource. So a simple fix for your problem is to add a space behind each date in the legend list.
import pandas as pd
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure, show
from bokeh.palettes import Spectral3
df = pd.DataFrame('Category': ['<£5000', '£100K to £250K'],
'01/01/2014': [8,1],
'01/01/2015': [8,2],
'01/01/2016': [7,1])
grouped = df.groupby('Category')['01/01/2014', '01/01/2015', '01/01/2016'].mean().round(0)
source = ColumnDataSource(grouped)
countries = source.data['Category'].tolist()
p = figure(x_range=countries)
p.vbar_stack(stackers=['01/01/2014', '01/01/2015', '01/01/2016'],
x='Category', source=source,
legend = ['01/01/2014 ', '01/01/2015 ', '01/01/2016 '],
width=0.5, color=Spectral3)
p.title.text ='Average Number of Trades by Portfolio Size'
p.legend.location = 'top_right'
p.xaxis.axis_label = 'Portfolio Size'
p.xgrid.grid_line_color = None #remove the x grid lines
p.yaxis.axis_label = 'Average Number of Trades'
show(p)
answered Mar 27 at 14:47
JasperJasper
1,1561 gold badge5 silver badges14 bronze badges
It does show the right legend names if you put something else in the legend list, as long as it doesn't match the dates in your ColumnDataSource. So a simple fix for your problem is to add a space behind each date in the legend list.
import pandas as pd
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure, show
from bokeh.palettes import Spectral3
df = pd.DataFrame('Category': ['<£5000', '£100K to £250K'],
'01/01/2014': [8,1],
'01/01/2015': [8,2],
'01/01/2016': [7,1])
grouped = df.groupby('Category')['01/01/2014', '01/01/2015', '01/01/2016'].mean().round(0)
source = ColumnDataSource(grouped)
countries = source.data['Category'].tolist()
p = figure(x_range=countries)
p.vbar_stack(stackers=['01/01/2014', '01/01/2015', '01/01/2016'],
x='Category', source=source,
legend = ['01/01/2014 ', '01/01/2015 ', '01/01/2016 '],
width=0.5, color=Spectral3)
p.title.text ='Average Number of Trades by Portfolio Size'
p.legend.location = 'top_right'
p.xaxis.axis_label = 'Portfolio Size'
p.xgrid.grid_line_color = None #remove the x grid lines
p.yaxis.axis_label = 'Average Number of Trades'
show(p)
answered Mar 27 at 14:47
JasperJasper
1,1561 gold badge5 silver badges14 bronze badges
answered Mar 27 at 14:47
JasperJasper
1,1561 gold badge5 silver badges14 bronze badges
answered Mar 27 at 14:47
JasperJasper
1,1561 gold badge5 silver badges14 bronze badges
answered Mar 27 at 14:47
JasperJasper
1,1561 gold badge5 silver badges14 bronze badges
1,1561 gold badge5 silver badges14 bronze badges
thanks very much. was driving me crazy.
– ben121
Mar 27 at 20:30
add a comment |
thanks very much. was driving me crazy.
– ben121
Mar 27 at 20:30
thanks very much. was driving me crazy.
– ben121
Mar 27 at 20:30
thanks very much. was driving me crazy.
– ben121
Mar 27 at 20:30
add a comment |
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