Plot background customisation












1















I'm using matplotlib.pyplot to display several data on one plot.



What I want to achieve is similar to what's shown in the following figure:



Figure 1



Where I've used combinations of axvspans to generate the bands.



As you can see, the result is not very easily readable. One thing I would like to try is to use the same background color for the yellow and gray bands, but with different patterns, as in this figure (made with GIMP):



Figure 2



Where the white bands in the picture will have a similar pattern as the others but with, say, tilted orientation or inverted colors.



Is it possible to achieve that using Python?










share|improve this question


















  • 2





    I will never again assume to know what some people will find more or less readable.

    – Paul Brodersen
    Nov 15 '18 at 11:21











  • @PaulBrodersen hahaha fair point. Indeed the second figure is way worse than the first one, but that's just due to my inability of using GIMP. I'd use better colors in my actual plot, I promise!

    – Enzo
    Nov 15 '18 at 11:23






  • 1





    On a more serious note, this might be a step in the right direction.

    – Paul Brodersen
    Nov 15 '18 at 11:26
















1















I'm using matplotlib.pyplot to display several data on one plot.



What I want to achieve is similar to what's shown in the following figure:



Figure 1



Where I've used combinations of axvspans to generate the bands.



As you can see, the result is not very easily readable. One thing I would like to try is to use the same background color for the yellow and gray bands, but with different patterns, as in this figure (made with GIMP):



Figure 2



Where the white bands in the picture will have a similar pattern as the others but with, say, tilted orientation or inverted colors.



Is it possible to achieve that using Python?










share|improve this question


















  • 2





    I will never again assume to know what some people will find more or less readable.

    – Paul Brodersen
    Nov 15 '18 at 11:21











  • @PaulBrodersen hahaha fair point. Indeed the second figure is way worse than the first one, but that's just due to my inability of using GIMP. I'd use better colors in my actual plot, I promise!

    – Enzo
    Nov 15 '18 at 11:23






  • 1





    On a more serious note, this might be a step in the right direction.

    – Paul Brodersen
    Nov 15 '18 at 11:26














1












1








1








I'm using matplotlib.pyplot to display several data on one plot.



What I want to achieve is similar to what's shown in the following figure:



Figure 1



Where I've used combinations of axvspans to generate the bands.



As you can see, the result is not very easily readable. One thing I would like to try is to use the same background color for the yellow and gray bands, but with different patterns, as in this figure (made with GIMP):



Figure 2



Where the white bands in the picture will have a similar pattern as the others but with, say, tilted orientation or inverted colors.



Is it possible to achieve that using Python?










share|improve this question














I'm using matplotlib.pyplot to display several data on one plot.



What I want to achieve is similar to what's shown in the following figure:



Figure 1



Where I've used combinations of axvspans to generate the bands.



As you can see, the result is not very easily readable. One thing I would like to try is to use the same background color for the yellow and gray bands, but with different patterns, as in this figure (made with GIMP):



Figure 2



Where the white bands in the picture will have a similar pattern as the others but with, say, tilted orientation or inverted colors.



Is it possible to achieve that using Python?







python matplotlib






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 15 '18 at 10:50









EnzoEnzo

658




658








  • 2





    I will never again assume to know what some people will find more or less readable.

    – Paul Brodersen
    Nov 15 '18 at 11:21











  • @PaulBrodersen hahaha fair point. Indeed the second figure is way worse than the first one, but that's just due to my inability of using GIMP. I'd use better colors in my actual plot, I promise!

    – Enzo
    Nov 15 '18 at 11:23






  • 1





    On a more serious note, this might be a step in the right direction.

    – Paul Brodersen
    Nov 15 '18 at 11:26














  • 2





    I will never again assume to know what some people will find more or less readable.

    – Paul Brodersen
    Nov 15 '18 at 11:21











  • @PaulBrodersen hahaha fair point. Indeed the second figure is way worse than the first one, but that's just due to my inability of using GIMP. I'd use better colors in my actual plot, I promise!

    – Enzo
    Nov 15 '18 at 11:23






  • 1





    On a more serious note, this might be a step in the right direction.

    – Paul Brodersen
    Nov 15 '18 at 11:26








2




2





I will never again assume to know what some people will find more or less readable.

– Paul Brodersen
Nov 15 '18 at 11:21





I will never again assume to know what some people will find more or less readable.

– Paul Brodersen
Nov 15 '18 at 11:21













@PaulBrodersen hahaha fair point. Indeed the second figure is way worse than the first one, but that's just due to my inability of using GIMP. I'd use better colors in my actual plot, I promise!

– Enzo
Nov 15 '18 at 11:23





@PaulBrodersen hahaha fair point. Indeed the second figure is way worse than the first one, but that's just due to my inability of using GIMP. I'd use better colors in my actual plot, I promise!

– Enzo
Nov 15 '18 at 11:23




1




1





On a more serious note, this might be a step in the right direction.

– Paul Brodersen
Nov 15 '18 at 11:26





On a more serious note, this might be a step in the right direction.

– Paul Brodersen
Nov 15 '18 at 11:26












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