How to color the area under the curve in Bokeh?











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I wanted to color the area under the step curve where my x axis is datetime, I've tried the patch but it provides color between the curves and not under the curve. Is there any better way to color the area under the curve?



plot



Here is the code:



output_file("layout.html")
df = pd.read_csv( 'file')
df.day= df.day.apply(lambda x : parser.parse(x))
s =
p_energy_patch = figure(title='graph', plot_width=1000, plot_height=300, x_axis_type="datetime")
p_energy_patch.step(x = df.day, y = df['total'], line_width=2, color="black", alpha=0.8)
p_energy_patch.patch(df.day, df['total'], color = "black",alpha=0.5, line_width=2)
tab2 = Panel(child=p_energy_patch, title="Normal+Patch(WH)")
tabs = Tabs(tabs=[ tab2])
s.append(tabs)
result = column(s)
show(result)









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  • 1




    I think you can use patch. But instead two curves, convert the below curve into a straight line, or... do you want to color under the curve to infinity and beyond! :O
    – ChesuCR
    Nov 21 at 16:20










  • yes I've more than 2 curves, you can say approx. 5-6.
    – Shruti Aggarwal
    Nov 22 at 8:45










  • If you show some image in your question would help to let us know what you want to achieve
    – ChesuCR
    Nov 22 at 10:04










  • i.stack.imgur.com/mpqSD.png, in this blue line shows the step graph and black the patches, here the patches are not fully covering the step graph
    – Shruti Aggarwal
    Nov 22 at 16:01










  • I suggest you edit your question to provide a Minimal, Complete, and Verifiable example.
    – Mr. T
    Nov 22 at 17:30















up vote
0
down vote

favorite












I wanted to color the area under the step curve where my x axis is datetime, I've tried the patch but it provides color between the curves and not under the curve. Is there any better way to color the area under the curve?



plot



Here is the code:



output_file("layout.html")
df = pd.read_csv( 'file')
df.day= df.day.apply(lambda x : parser.parse(x))
s =
p_energy_patch = figure(title='graph', plot_width=1000, plot_height=300, x_axis_type="datetime")
p_energy_patch.step(x = df.day, y = df['total'], line_width=2, color="black", alpha=0.8)
p_energy_patch.patch(df.day, df['total'], color = "black",alpha=0.5, line_width=2)
tab2 = Panel(child=p_energy_patch, title="Normal+Patch(WH)")
tabs = Tabs(tabs=[ tab2])
s.append(tabs)
result = column(s)
show(result)









share|improve this question




















  • 1




    I think you can use patch. But instead two curves, convert the below curve into a straight line, or... do you want to color under the curve to infinity and beyond! :O
    – ChesuCR
    Nov 21 at 16:20










  • yes I've more than 2 curves, you can say approx. 5-6.
    – Shruti Aggarwal
    Nov 22 at 8:45










  • If you show some image in your question would help to let us know what you want to achieve
    – ChesuCR
    Nov 22 at 10:04










  • i.stack.imgur.com/mpqSD.png, in this blue line shows the step graph and black the patches, here the patches are not fully covering the step graph
    – Shruti Aggarwal
    Nov 22 at 16:01










  • I suggest you edit your question to provide a Minimal, Complete, and Verifiable example.
    – Mr. T
    Nov 22 at 17:30













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I wanted to color the area under the step curve where my x axis is datetime, I've tried the patch but it provides color between the curves and not under the curve. Is there any better way to color the area under the curve?



plot



Here is the code:



output_file("layout.html")
df = pd.read_csv( 'file')
df.day= df.day.apply(lambda x : parser.parse(x))
s =
p_energy_patch = figure(title='graph', plot_width=1000, plot_height=300, x_axis_type="datetime")
p_energy_patch.step(x = df.day, y = df['total'], line_width=2, color="black", alpha=0.8)
p_energy_patch.patch(df.day, df['total'], color = "black",alpha=0.5, line_width=2)
tab2 = Panel(child=p_energy_patch, title="Normal+Patch(WH)")
tabs = Tabs(tabs=[ tab2])
s.append(tabs)
result = column(s)
show(result)









share|improve this question















I wanted to color the area under the step curve where my x axis is datetime, I've tried the patch but it provides color between the curves and not under the curve. Is there any better way to color the area under the curve?



plot



Here is the code:



output_file("layout.html")
df = pd.read_csv( 'file')
df.day= df.day.apply(lambda x : parser.parse(x))
s =
p_energy_patch = figure(title='graph', plot_width=1000, plot_height=300, x_axis_type="datetime")
p_energy_patch.step(x = df.day, y = df['total'], line_width=2, color="black", alpha=0.8)
p_energy_patch.patch(df.day, df['total'], color = "black",alpha=0.5, line_width=2)
tab2 = Panel(child=p_energy_patch, title="Normal+Patch(WH)")
tabs = Tabs(tabs=[ tab2])
s.append(tabs)
result = column(s)
show(result)






python python-3.x plot bokeh






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edited Nov 23 at 13:28

























asked Nov 21 at 15:51









Shruti Aggarwal

63




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  • 1




    I think you can use patch. But instead two curves, convert the below curve into a straight line, or... do you want to color under the curve to infinity and beyond! :O
    – ChesuCR
    Nov 21 at 16:20










  • yes I've more than 2 curves, you can say approx. 5-6.
    – Shruti Aggarwal
    Nov 22 at 8:45










  • If you show some image in your question would help to let us know what you want to achieve
    – ChesuCR
    Nov 22 at 10:04










  • i.stack.imgur.com/mpqSD.png, in this blue line shows the step graph and black the patches, here the patches are not fully covering the step graph
    – Shruti Aggarwal
    Nov 22 at 16:01










  • I suggest you edit your question to provide a Minimal, Complete, and Verifiable example.
    – Mr. T
    Nov 22 at 17:30














  • 1




    I think you can use patch. But instead two curves, convert the below curve into a straight line, or... do you want to color under the curve to infinity and beyond! :O
    – ChesuCR
    Nov 21 at 16:20










  • yes I've more than 2 curves, you can say approx. 5-6.
    – Shruti Aggarwal
    Nov 22 at 8:45










  • If you show some image in your question would help to let us know what you want to achieve
    – ChesuCR
    Nov 22 at 10:04










  • i.stack.imgur.com/mpqSD.png, in this blue line shows the step graph and black the patches, here the patches are not fully covering the step graph
    – Shruti Aggarwal
    Nov 22 at 16:01










  • I suggest you edit your question to provide a Minimal, Complete, and Verifiable example.
    – Mr. T
    Nov 22 at 17:30








1




1




I think you can use patch. But instead two curves, convert the below curve into a straight line, or... do you want to color under the curve to infinity and beyond! :O
– ChesuCR
Nov 21 at 16:20




I think you can use patch. But instead two curves, convert the below curve into a straight line, or... do you want to color under the curve to infinity and beyond! :O
– ChesuCR
Nov 21 at 16:20












yes I've more than 2 curves, you can say approx. 5-6.
– Shruti Aggarwal
Nov 22 at 8:45




yes I've more than 2 curves, you can say approx. 5-6.
– Shruti Aggarwal
Nov 22 at 8:45












If you show some image in your question would help to let us know what you want to achieve
– ChesuCR
Nov 22 at 10:04




If you show some image in your question would help to let us know what you want to achieve
– ChesuCR
Nov 22 at 10:04












i.stack.imgur.com/mpqSD.png, in this blue line shows the step graph and black the patches, here the patches are not fully covering the step graph
– Shruti Aggarwal
Nov 22 at 16:01




i.stack.imgur.com/mpqSD.png, in this blue line shows the step graph and black the patches, here the patches are not fully covering the step graph
– Shruti Aggarwal
Nov 22 at 16:01












I suggest you edit your question to provide a Minimal, Complete, and Verifiable example.
– Mr. T
Nov 22 at 17:30




I suggest you edit your question to provide a Minimal, Complete, and Verifiable example.
– Mr. T
Nov 22 at 17:30

















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